School agent Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

Maternity Cover | ITE Group Dubai<br>Contrat Duration: August to December 2026Reports To: Finance Manager Location: Dubai Media City Work Schedule: Monday - Friday<br>Job Purpose To support the Finance Manager in maintaining accurate and timely financial records and transactions for ITE Eurasian Exhibitions FZ LLC. The Assistant Accountant is responsible for supporting accounts payable, accounts receivable, treasury, supplier and agent transactions, staff expenses, corporate card transactions, and month-end reconciliation activities. The role ensures that financial transactions are properly recorded, supported by appropriate documentation, and processed in accordance with company policies, procedures, and financial controls, while providing reliable day-to-day accounting support to the Finance team.<br>Responsibilities:Post the Money Payment Plan for overhead suppliers Initiate PO posting, process corresponding invoices, and complete bank posting for project-related supplier and agent transactions accordingly Posting of bank payments, AP/AR, barters and petty cash in 1C and spreadsheets Expenses related to staff advance payment against expenses made (i.e. business trip and office supplies etc.) Month end treasury tasks including bank and cash reconciliation for accounts payable side Raise customer invoices, allocate receipts, issue credit notes, update AR aging on ad-hoc basis during his annual leave. Posting of company corporate credit cards transactions Other ad-hoc duties<br>Required Skills and Experience:Bachelor’s degree or diploma in Accounting, Finance, or a related field.2–4 years of relevant accounting experience, preferably within a fast-paced commercial or international environment. Good understanding of accounts payable, accounts receivable, bank reconciliation, petty cash, staff expenses, and general accounting processes. Hands-on experience with accounting systems, preferably 1C, ERP systems, and Microsoft Excel. Strong attention to detail and accuracy when processing financial transactions and maintaining accounting records. Ability to review invoices, payment requests, supporting documents, and supplier/agent transactions to ensure completeness and accuracy. Good understanding of financial controls, documentation requirements, and month-end accounting procedures. Ability to manage multiple transactions and priorities while meeting deadlines, particularly during month-end closing. Strong numerical and analytical skills with the ability to identify discrepancies and resolve issues promptly. Good communication and coordination skills when working with suppliers, agents, employees, and internal departments. A proactive, reliable, and collaborative approach, with the ability to work independently and support the Finance Manager as required. High level of integrity and confidentiality when handling financial and employee-related information.<br>What We Offer:International Work Environment – Be part of a diverse, multicultural team working across international exhibitions and business events. Learning & Development – Opportunities to expand your accounting knowledge, develop new skills, and gain exposure to a dynamic international business environment. Career Growth – Build your career within a growing organisation with opportunities to take on greater responsibilities and develop professionally. Collaborative Team Culture – Work alongside supportive colleagues and collaborate closely with Finance and other departments across the business. Meaningful Exposure – Gain hands-on experience across accounts payable, accounts receivable, treasury, supplier and agent transactions, staff expenses, and project-related accounting. Competitive Employment Package – A competitive salary and benefits package in line with the role, experience, and UAE market standards. Dubai-Based Opportunity – Work from our Dubai office in a professional and international business environment.

<p><strong><u>Senior Agentic AI Engineer – Dubai</u></strong></p><p><br></p><p><strong><u>Discover the Opportunity:</u></strong></p><p>We’re partnering with an innovative technology organisation in Dubai that is developing advanced AI products and intelligent automation solutions.</p><p><br></p><p>They’re looking for a hands-on <strong>Senior Agentic AI Engineer</strong> to design, build and deploy production-grade AI agent systems, with a particular focus on secure, private and self-hosted environments.</p><p><br></p><p>This is a role for someone who goes beyond experimenting with LLMs. You’ll take ownership of end-to-end AI solutions, from architecture and model deployment through to agent orchestration, application development and production operations. You’ll also contribute to the development and optimisation of commercial AI products, working closely with product and engineering teams to turn complex business requirements into scalable solutions.</p><p><br></p><p><strong><u>Discover the Responsibilities:</u></strong></p><ul><li>Design, build and deploy production-grade AI agent applications using self-hosted LLMs and modern agentic frameworks.</li><li>Develop secure, private AI architectures with strong data isolation, access controls, encryption and auditability.</li><li>Build end-to-end agent workflows that integrate with enterprise systems, internal applications and business processes.</li><li>Develop internal tools, user portals and backend services to support AI-powered applications and automation.</li><li>Own the AI lifecycle across deployment, monitoring, versioning, performance optimisation and continuous improvement.</li><li>Implement scalable infrastructure and MLOps practices using Docker, Kubernetes, CI/CD and cloud or on-premises environments.</li><li>Contribute to the development, integration and optimisation of commercial AI products, balancing performance, scalability, cost and time-to-market.</li><li>Work closely with product, engineering and business stakeholders to translate requirements into technical solutions and measure their real-world impact.</li><li>Provide technical leadership, share best practices and mentor engineers while remaining actively involved in hands-on delivery.</li></ul><p><br></p><p><strong><u>Discover the Requirements:</u></strong></p><ul><li>5+ years of experience in AI/ML Engineering, ideally within a product-focused or fast-paced technology environment.</li><li>Strong hands-on experience building and deploying production-grade Generative AI and Agentic AI systems.</li><li>Proven experience deploying <strong>self-hosted LLMs</strong> in private or on-premises environments without dependency on external AI APIs.</li><li>Experience with LLMs such as LLaMA, Mistral, GPT or Claude, alongside agent frameworks such as LangChain, Semantic Kernel, CrewAI or MCP-based architectures.</li><li>Practical experience with RAG, prompt engineering, LLM evaluation, fine-tuning techniques such as LoRA/QLoRA and model optimisation.</li><li>Strong Python programming skills and experience building scalable AI workflows, backend services and production applications.</li><li>Experience with Docker, Kubernetes, CI/CD, MLOps and AI lifecycle management.</li><li>Strong understanding of secure system design, including authentication, authorisation, data isolation, encryption and audit logging.</li><li>Experience with SQL/NoSQL databases, data modelling, ETL/ELT pipelines and handling large-scale datasets.</li><li>Experience deploying and optimising AI systems across on-premises and cloud environments, with AWS exposure advantageous.</li><li>Strong product ownership, problem-solving and communication skills, with the ability to translate business requirements into production-ready technical solutions.</li><li>A Master’s degree in Computer Science, Data Science or a related technical discipline is preferred.</li></ul>

<ul><li><p>Designing and building Generative AI applications using Large Language Models (LLMs)</p></li><li><p>Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems</p></li><li><p>Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks</p></li><li><p>Implementing RAG architecture with vector databases</p></li><li><p>Knowledge of embeddings, vector DBs, and model evaluation.</p></li><li><p>Implement various Context Engineering strategies to reduce Token Utilization & Latency.</p></li><li><p>Implement RAG Strategies to reduce retrieval latency and answer relevancy.</p></li><li><p>Prompt engineering, tool calling, memory management, and agent orchestration</p></li><li><p>Integrating AI services with enterprise APIs, middle ware, and backend systems</p></li><li><p>Evaluated & Improvise AI Agent Performance using several metrics</p></li><li><p>Deploying scalable AI solutions on Azure / AWS cloud platforms</p></li><li><p>Working with model evaluation, guardrails, observability, and AI governance</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in computer science, Engineering, or a related field.</p></li><li><p>Senior professional with around 10 years of experience.</p></li><li><p>3+ years of relevant experience in AI Engineering</p></li><li><p>Working experience in an agile software development environment with a good understanding of the principles of agile architecture. Strong collaborative mindset for collective decentralized decision making.</p></li><li><p>Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture, etc., with a passion for hands on coding.</p></li><li><p>Strong foundation knowledge of software architecture concepts, patterns, principles, and quality attributes. Ability to consistently apply them in real-world scenarios with a pragmatic, system thinking, and problem-solving mindset by analyzing architecture trade-offs for delivering high-quality, sustainable solution architecture.</p></li><li><p>Proven leadership skills with a proactive, positive, and growth mindset. Ability to foster and motivate programmers for delivering with craftsmanship. Good personal skills to continuously engage and communicate with an egoless empathetic mindset.</p></li><li><p>Experience and expertise in delivering architecture for large software solutions meeting critical business purposes. Ability to proactively discover technical debts and continuous improvement opportunities of existing live systems. Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items.</p></li><li><p>Strong proficiency in Python (NumPy, pandas, FastAPI, PyTorch/TensorFlow).</p></li><li><p>Experience with Agent framework LangChain, Lang Graph.</p></li><li><p>Architect end-to-end data indexing pipelines optimized for semantic search and RAG.</p></li><li><p>Design resilient data ingestion frameworks that ensure high availability and low latency for vectorized datasets.</p></li><li><p>Experience deploying and managing models via Amazon Bedrock, Azure OpenAI Service, and Google Vertex AI.</p></li><li><p>Integration of pre-built AI APIs for Speech-to-Text, Computer Vision, and Natural Language Processing (NLP).</p></li><li><p>Leveraging serverless architectures (e.g., AWS Lambda, Azure Functions) to trigger AI inference and data pre-processing.</p></li><li><p>Experience working with CI/CD tools like Jenkins/Gitlab in Cloud Native environments.</p></li><li><p>Experience in setting up pipeline for cloud based and on-prem based application with static code analysis, requirement tagging in Jira.</p></li><li><p>Experience working with one or more DevOps tools & config management tools.</p></li><li><p>Experience in managing and deploying AI workloads in Kubernetes.</p></li><li><p>Experience operating monitoring tools for traditional and cloud environments.</p></li><li><p>Strong analytical mind for problem solving.</p></li></ul>

Company Description Cruq AI provides an AI-native agent platform that delivers powerful automation to transform operations for enterprises and high-growth companies. The platform offers a modular architecture and a broad library of pre-built agents across domains such as finance, HR, healthcare, IT, legal, retail, and more, enabling organizations to reduce costs and scale efficiently. Its Agent OS supports multi-agent collaboration, flexible deployment, and end-to-end workflow automation with human-level accuracy and continuous operation. Cruq AI integrates with existing enterprise systems, centralizes management and monitoring of AI-driven workflows, and leverages advanced data handling capabilities like database integration and retrieval-augmented generation. Through customizable solutions and proven cost savings, it helps businesses accelerate processes, improve accuracy, and maintain a competitive edge with intelligent automation.<br>Role Description The Senior Robotics Software Engineer will design, develop, and deploy advanced software for autonomous and semi-autonomous robotic systems that leverage Cruq AI’s agent platform. In this full-time remote role, the engineer will architect and implement robust back-end services, control systems, and APIs that connect robotics hardware to AI agents and enterprise environments. Day-to-day activities include writing production-quality code, building simulation and testing frameworks, integrating perception and planning algorithms, and optimizing system performance and reliability. The engineer will collaborate closely with cross-functional teams in AI, product, and hardware engineering to define technical requirements, review designs, and ensure seamless deployment of robotics solutions into real-world workflows. Additionally, the role involves code reviews, documentation, mentoring of teammates, and continuous improvement of development practices and tooling.<br>Qualifications Strong foundation in Computer Science, including algorithms, data structures, and systems design. Proficiency in Software Development and Programming, with experience in modern languages commonly used in robotics (e.g., C++, Python). Experience in Back-End Web Development for APIs and services that connect robotics systems with cloud or enterprise platforms. Advanced skills in Object-Oriented Programming (OOP) and designing modular, scalable, and testable software architectures. Hands-on experience with robotics frameworks and tools (e.g., ROS/ROS2, Gazebo, simulation environments, real-time systems). Background in control systems, motion planning, or perception pipelines for autonomous robots is highly beneficial. Familiarity with AI/ML integration, distributed systems, and cloud-native architectures is a plus. Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field, or equivalent practical experience. Ability to work independently in a remote setting, collaborate effectively in cross-functional teams, and communicate complex technical concepts clearly.

<p><strong>Project description</strong></p><p>Expert-level engineer designing and building LLM applications and agentic workflows on Azure: RAG pipelines, multi-agent orchestration, MCP tool integration, evaluation, guardrails and cost control. Sets the GenAI engineering standards for the account and is accountable for solution quality against agreed evaluation thresholds.</p><p><br></p><p><strong>Responsibilities</strong></p><p>Build LLM applications and agent workflows with LangGraph / LangChain / Semantic Kernel on Azure OpenAI (AWS Bedrock / GCP Vertex a plus).</p><p>Design RAG pipelines: document ingestion, chunking strategies, embeddings, vector search (Azure AI Search, FAISS, Pinecone), hybrid retrieval and re-ranking.</p><p>Integrate enterprise tools and context via Model Context Protocol (MCP) servers and function / tool calling; design multi-agent systems.</p><p>Engineer, version and test prompts; run offline and online evaluations (accuracy, grounding, hallucination rate) and fine-tuning where justified.</p><p>Implement responsible-AI guardrails (content filters, PII redaction, policy checks) and LLM observability (tracing, token accounting, latency).</p><p>Optimise token and inference cost (model routing, caching, batching); report against cost budgets.</p><p>Document prompts, evaluation results and model choices; mentor engineers adopting GenAI patterns.</p><p><br></p><p><strong>Skills</strong></p><p><em>Must have</em></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience.</li><li>10+ years in software or data engineering, of which 3+ in machine learning / NLP and 2+ delivering production LLM applications (RAG, agents) on Azure OpenAI or equivalent.</li><li>Expert Python; LangGraph, LangChain and/or Semantic Kernel; asynchronous, event-driven application design.</li><li>Azure OpenAI, Azure AI Search, Azure AI Foundry / ML, Functions, Container Apps / AKS, Key Vault, Application Insights.</li><li>RAG design: chunking, embeddings, vector databases (Azure AI Search, FAISS, Pinecone), hybrid search, re-ranking.</li><li>MCP server / client development, function calling, multi-agent orchestration and state management.</li><li>LLM evaluation (RAGAS, promptfoo, Azure AI evaluation or equivalent), fine-tuning (LoRA / PEFT) and model selection.</li><li>Guardrails (Azure AI Content Safety, NeMo Guardrails or similar), LLM observability (LangSmith, OpenTelemetry), FinOps for inference.</li></ul><p><strong>Nice to have</strong></p><ul><li>AWS Bedrock or GCP Vertex AI.</li><li>Semantic caching, model distillation, small-language-model deployment.</li><li>Azure AI Engineer Associate (AI-102) or equivalent.</li><li>Experience in financial services, sovereign wealth / investment holding or other regulated enterprise environments.</li><li>Experience working with distributed teams (onsite UAE with nearshore India / offshore Poland squads).</li></ul><p><br></p><p><strong>Languages</strong></p><ul><li>English: C1 Advanced</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description Expert-level engineer designing and building LLM applications and agentic workflows on Azure: RAG pipelines, multi-agent orchestration, MCP tool integration, evaluation, guardrails and cost control. Sets the GenAI engineering standards for the account and is accountable for solution quality against agreed evaluation thresholds. Responsibilities Build LLM applications and agent workflows with LangGraph / LangChain / Semantic Kernel on Azure OpenAI (AWS Bedrock / GCP Vertex a plus). Design RAG pipelines: document ingestion, chunking strategies, embeddings, vector search (Azure AI Search, FAISS, Pinecone), hybrid retrieval and re-ranking. Integrate enterprise tools and context via Model Context Protocol (MCP) servers and function / tool calling; design multi-agent systems. Engineer, version and test prompts; run offline and online evaluations (accuracy, grounding, hallucination rate) and fine-tuning where justified. Implement responsible-AI guardrails (content filters, PII redaction, policy checks) and LLM observability (tracing, token accounting, latency). Optimise token and inference cost (model routing, caching, batching); report against cost budgets. Document prompts, evaluation results and model choices; mentor engineers adopting GenAI patterns. Skills Must have Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience. 10+ years in software or data engineering, of which 3+ in machine learning / NLP and 2+ delivering production LLM applications (RAG, agents) on Azure OpenAI or equivalent. Expert Python; LangGraph, LangChain and/or Semantic Kernel; asynchronous, event-driven application design. Azure OpenAI, Azure AI Search, Azure AI Foundry / ML, Functions, Container Apps / AKS, Key Vault, Application Insights. RAG design: chunking, embeddings, vector databases (Azure AI Search, FAISS, Pinecone), hybrid search, re-ranking. MCP server / client development, function calling, multi-agent orchestration and state management. LLM evaluation (RAGAS, promptfoo, Azure AI evaluation or equivalent), fine-tuning (LoRA / PEFT) and model selection. Guardrails (Azure AI Content Safety, NeMo Guardrails or similar), LLM observability (LangSmith, OpenTelemetry), FinOps for inference. Nice to have AWS Bedrock or GCP Vertex AI. Semantic caching, model distillation, small-language-model deployment. Azure AI Engineer Associate (AI-102) or equivalent. Experience in financial services, sovereign wealth / investment holding or other regulated enterprise environments. Experience working with distributed teams (onsite UAE with nearshore India / offshore Poland squads). Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description We are seeking a Palantir Foundry &amp; AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP. Responsibilities · Data &amp; Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry. · AIP &amp; AI Enablement: Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents. Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content. Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology. Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features. · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications. · User Engagement: Provide training and support for business teams adopting Foundry and AIP. · Governance &amp; Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI. · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation. Skills Must have Minimum 10 Years of experience in IT/Data. Minimum 5 years of experience as a Data Platform Engineer/Data Engineer. · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications). · Strong technical skills in Python, PySpark, SQL, and data modelling. · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications. · Ability to work independently and engage directly with non-technical business users. · Strong problem-solving mindset and ownership of delivery. Nice to have · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing). · Exposure to AIP Evals and evaluation/test-driven approaches. · Experience with integration patterns (APIs, MCP, cloud services). · Consulting or applied AI/ML background. · Experience in Abu Dhabi or the broader MENA region. Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

About the Role As an AI Architect, you will define the strategic architecture for enterprise AI initiatives, including Generative AI, Agentic AI, Machine Learning platforms, and intelligent automation solutions. You will work closely with business leaders, engineering teams, data scientists, and cloud architects to deliver secure, scalable, and production-ready AI systems. Key Responsibilities Define end-to-end architecture for AI, Gen AI, Agentic AI, and ML platforms. Design and implement scalable LLM-powered and multi-agent systems. Establish AI architecture standards, governance, security, and best practices. Drive technical architecture discussions across engineering and business stakeholders. Evaluate and recommend AI tools, frameworks, cloud services, and platforms. Ensure scalability, reliability, compliance, and performance of enterprise AI solutions. Define AI platform roadmaps and enterprise integration strategies. Mentor architects, engineers, and AI practitioners across teams. Guide organizations through large-scale AI transformation initiatives. Required Qualifications12+ years of experience in software engineering, solution architecture, or enterprise architecture. Strong expertise in AI/ML architecture and distributed system design. Hands-on experience with Large Language Models (LLMs), RAG architectures, and Agentic AI systems. Experience designing and deploying multi-agent AI solutions. Strong understanding of data engineering, ML lifecycle, MLOps, and AI governance. Experience with enterprise integration patterns, microservices, APIs, and event-driven architectures. Knowledge of AI security, compliance, privacy, and responsible AI principles. Proven ability to lead technical teams and architecture decisions. Technical Skills AI & Gen AIOpen AI, Azure Open AI, Claude, Gemini, Llama RAG (Retrieval-Augmented Generation) Prompt Engineering Vector Databases Knowledge Graphs AI Evaluation & Monitoring Agentic AILang Chain Lang Graph Crew AIAuto Gen Semantic Kernel Multi-Agent Orchestration Frameworks Cloud Platforms AWS (Bedrock, Sage Maker) Microsoft Azure (Azure Open AI, AI Foundry, AI Search) Google Cloud (Vertex AI) Data & MLOps Databricks Snowflake MLflow Airflow Kubeflow Preferred Qualifications Experience leading enterprise AI transformation programs. Experience building AI platforms serving multiple business units. Relevant cloud certifications (AWS, Azure, GCP). Experience working in regulated industries.

About the Role As an AI Architect, you will define the strategic architecture for enterprise AI initiatives, including Generative AI, Agentic AI, Machine Learning platforms, and intelligent automation solutions. You will work closely with business leaders, engineering teams, data scientists, and cloud architects to deliver secure, scalable, and production-ready AI systems. Key Responsibilities Define end-to-end architecture for AI, Gen AI, Agentic AI, and ML platforms. Design and implement scalable LLM-powered and multi-agent systems. Establish AI architecture standards, governance, security, and best practices. Drive technical architecture discussions across engineering and business stakeholders. Evaluate and recommend AI tools, frameworks, cloud services, and platforms. Ensure scalability, reliability, compliance, and performance of enterprise AI solutions. Define AI platform roadmaps and enterprise integration strategies. Mentor architects, engineers, and AI practitioners across teams. Guide organizations through large-scale AI transformation initiatives. Required Qualifications12+ years of experience in software engineering, solution architecture, or enterprise architecture. Strong expertise in AI/ML architecture and distributed system design. Hands-on experience with Large Language Models (LLMs), RAG architectures, and Agentic AI systems. Experience designing and deploying multi-agent AI solutions. Strong understanding of data engineering, ML lifecycle, MLOps, and AI governance. Experience with enterprise integration patterns, microservices, APIs, and event-driven architectures. Knowledge of AI security, compliance, privacy, and responsible AI principles. Proven ability to lead technical teams and architecture decisions. Technical Skills AI & Gen AIOpen AI, Azure Open AI, Claude, Gemini, Llama RAG (Retrieval-Augmented Generation) Prompt Engineering Vector Databases Knowledge Graphs AI Evaluation & Monitoring Agentic AILang Chain Lang Graph Crew AIAuto Gen Semantic Kernel Multi-Agent Orchestration Frameworks Cloud Platforms AWS (Bedrock, Sage Maker) Microsoft Azure (Azure Open AI, AI Foundry, AI Search) Google Cloud (Vertex AI) Data & MLOps Databricks Snowflake MLflow Airflow Kubeflow Preferred Qualifications Experience leading enterprise AI transformation programs. Experience building AI platforms serving multiple business units. Relevant cloud certifications (AWS, Azure, GCP). Experience working in regulated industries.

Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence.<br><br>Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 65 gigawatts (GW).<br><br>Jointly owned by TAQA, ADNOC and Mubadala, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030.<br><br>Job Description<br><br>To own the end-to-end digital thread from deal origination to asset performance, together with the document-intelligence layer that turns Masdar’s contracts, engineering records, and due-diligence files into structured, decision-ready data — enabling “Documents → Data → Insight → Financial Decision.” Also serves as the product owner and execution lead for Masdar’s investment lifecycle and product lifecycle management platforms, spanning deal origination through asset performance.<br><br>Key Accountabilities : <br><br>Own the end-to-end platform portfolio across investment planning, engineering design, permitting, tendering, project execution, asset and pipeline management. Own enterprise document and contract-lifecycle platforms (Legal / CLM, engineering document control, M&A and due-diligence documentation). Define and maintain a single product roadmap aligned to business priorities, treating the investment lifecycle and its supporting documents as one digital thread. Ensure compliance, traceability, and governance across the transactional platforms and the document estate. Deploy AI-driven document workflows: ingestion of structured and unstructured data, extraction of key financial and legal fields, normalization, classification, summarization, and reasoning. Enable Human-in-the-Loop approvals and agent-to-agent orchestration across enterprise systems. Partner with Domain Architecture, Infrastructure, and Security to ensure agent identity and guardrails as workflows scale. Deliver platforms providing portfolio visibility, capital allocation insight, and scenario modeling for investments. Enable M&A due-diligence workflows, capital planning and approvals, project / construction tracking, and asset / portfolio performance. Partner closely with Finance, Investment, and M&A teams to connect document evidence to capital decisions. Integrate across ERP core (SAP / Oracle), procurement, asset management, document management, and EPC / O&M source systems. Build the enterprise-wide knowledge layer for a unified, origination-to-operations view. Lead Agile delivery through system integrators and Saa S vendors with structured release cycles and continuous improvement. Deliver operational and portfolio reporting via Saa S-native tooling and Power BI; partner with the AI Products & Analytics Platforms team for advanced insight. Manage system integrators, Saa S/ERP vendors (e.g., IFS, SAP, Oracle), Microsoft ecosystem partners, and AI vendors. Enforce SLAs, KPIs, and business outcomes; apply Fin Ops-style cost discipline on platform and AI spend. <br><br>Qualifications<br><br>Preferred Qualifications:<br><br>Bachelor’s or master’s degree in Technology, Engineering, Data/AI, Finance, or a related field. «TO CONFIRM» Masdar’s preferred certifications. <br><br>Preferred Experience:<br><br>14–18+ years in enterprise systems and product/platform ownership (elevated from the source roles to reflect the combined senior mandate). Proven end-to-end deployment of PLM and project-based ERP systems (e.g., IFS Cloud / IFS Project Lifecycle, SAP S/4HANA Projects, Oracle Projects / Primavera) across Design → Build → Integration → Go-Live → Optimization. <br><br>Job-Specific Skills:<br><br>6+ years in the control-based document ecosystem (enterprise Share Point, Microsoft Syntex) or Equivalent and 5+ years delivering enterprise document-transformation programs. Hands-on experience building AI-driven document workflows and agent-based orchestration (Azure Open AI / Copilot / multi-agent frameworks), with the identity, guardrail, and audit rigor expected of financial-grade AI platforms. Investment lifecycle and M&A processes; capital project development and construction lifecycle; financial planning and portfolio reporting. API-first / composable architecture and ERP integration across finance, procurement, and engineering; operational reporting via Saa S + Power BI; strong outsourced / partner-led delivery and stakeholder influence across Investment, Finance, M&A, Development, and functional teams. Renewable energy, utilities, infrastructure, or financial/investment platform background preferred. <br><br>Role is to be based in Abu Dhabi, UAE. <br><br>Additional Information<br><br>As part of the application process, we will collect, store and process personal information about you.<br><br>Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.

Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence.<br><br>Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 65 gigawatts (GW).<br><br>Jointly owned by TAQA, ADNOC and Mubadala, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030.<br><br>Job Description<br><br>To own the end-to-end digital thread from deal origination to asset performance, together with the document-intelligence layer that turns Masdar’s contracts, engineering records, and due-diligence files into structured, decision-ready data — enabling “Documents → Data → Insight → Financial Decision.” Also serves as the product owner and execution lead for Masdar’s investment lifecycle and product lifecycle management platforms, spanning deal origination through asset performance.<br><br>Key Accountabilities : <br><br>Own the end-to-end platform portfolio across investment planning, engineering design, permitting, tendering, project execution, asset and pipeline management. Own enterprise document and contract-lifecycle platforms (Legal / CLM, engineering document control, M&A and due-diligence documentation). Define and maintain a single product roadmap aligned to business priorities, treating the investment lifecycle and its supporting documents as one digital thread. Ensure compliance, traceability, and governance across the transactional platforms and the document estate. Deploy AI-driven document workflows: ingestion of structured and unstructured data, extraction of key financial and legal fields, normalization, classification, summarization, and reasoning. Enable Human-in-the-Loop approvals and agent-to-agent orchestration across enterprise systems. Partner with Domain Architecture, Infrastructure, and Security to ensure agent identity and guardrails as workflows scale. Deliver platforms providing portfolio visibility, capital allocation insight, and scenario modeling for investments. Enable M&A due-diligence workflows, capital planning and approvals, project / construction tracking, and asset / portfolio performance. Partner closely with Finance, Investment, and M&A teams to connect document evidence to capital decisions. Integrate across ERP core (SAP / Oracle), procurement, asset management, document management, and EPC / O&M source systems. Build the enterprise-wide knowledge layer for a unified, origination-to-operations view. Lead Agile delivery through system integrators and Saa S vendors with structured release cycles and continuous improvement. Deliver operational and portfolio reporting via Saa S-native tooling and Power BI; partner with the AI Products & Analytics Platforms team for advanced insight. Manage system integrators, Saa S/ERP vendors (e.g., IFS, SAP, Oracle), Microsoft ecosystem partners, and AI vendors. Enforce SLAs, KPIs, and business outcomes; apply Fin Ops-style cost discipline on platform and AI spend. <br><br>Qualifications<br><br>Preferred Qualifications:<br><br>Bachelor’s or master’s degree in Technology, Engineering, Data/AI, Finance, or a related field. «TO CONFIRM» Masdar’s preferred certifications. <br><br>Preferred Experience:<br><br>14–18+ years in enterprise systems and product/platform ownership (elevated from the source roles to reflect the combined senior mandate). Proven end-to-end deployment of PLM and project-based ERP systems (e.g., IFS Cloud / IFS Project Lifecycle, SAP S/4HANA Projects, Oracle Projects / Primavera) across Design → Build → Integration → Go-Live → Optimization. <br><br>Job-Specific Skills:<br><br>6+ years in the control-based document ecosystem (enterprise Share Point, Microsoft Syntex) or Equivalent and 5+ years delivering enterprise document-transformation programs. Hands-on experience building AI-driven document workflows and agent-based orchestration (Azure Open AI / Copilot / multi-agent frameworks), with the identity, guardrail, and audit rigor expected of financial-grade AI platforms. Investment lifecycle and M&A processes; capital project development and construction lifecycle; financial planning and portfolio reporting. API-first / composable architecture and ERP integration across finance, procurement, and engineering; operational reporting via Saa S + Power BI; strong outsourced / partner-led delivery and stakeholder influence across Investment, Finance, M&A, Development, and functional teams. Renewable energy, utilities, infrastructure, or financial/investment platform background preferred. <br><br>Role is to be based in Abu Dhabi, UAE. <br><br>Additional Information<br><br>As part of the application process, we will collect, store and process personal information about you.<br><br>Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.

Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence.<br><br>Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 65 gigawatts (GW).<br><br>Jointly owned by TAQA, ADNOC and Mubadala, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030.<br><br>Job Description<br><br>To own the end-to-end digital thread from deal origination to asset performance, together with the document-intelligence layer that turns Masdar’s contracts, engineering records, and due-diligence files into structured, decision-ready data — enabling “Documents → Data → Insight → Financial Decision.” Also serves as the product owner and execution lead for Masdar’s investment lifecycle and product lifecycle management platforms, spanning deal origination through asset performance.<br><br>Key Accountabilities : <br><br>Own the end-to-end platform portfolio across investment planning, engineering design, permitting, tendering, project execution, asset and pipeline management. Own enterprise document and contract-lifecycle platforms (Legal / CLM, engineering document control, M&A and due-diligence documentation). Define and maintain a single product roadmap aligned to business priorities, treating the investment lifecycle and its supporting documents as one digital thread. Ensure compliance, traceability, and governance across the transactional platforms and the document estate. Deploy AI-driven document workflows: ingestion of structured and unstructured data, extraction of key financial and legal fields, normalization, classification, summarization, and reasoning. Enable Human-in-the-Loop approvals and agent-to-agent orchestration across enterprise systems. Partner with Domain Architecture, Infrastructure, and Security to ensure agent identity and guardrails as workflows scale — consistent with governed AI-platform practice at Goldman Sachs and JPMorgan Chase Deliver platforms providing portfolio visibility, capital allocation insight, and scenario modeling for investments. Enable M&A due-diligence workflows, capital planning and approvals, project / construction tracking, and asset / portfolio performance. Partner closely with Finance, Investment, and M&A teams to connect document evidence to capital decisions. Integrate across ERP core (SAP / Oracle), procurement, asset management, document management, and EPC / O&M source systems. Build the enterprise-wide knowledge layer for a unified, origination-to-operations view. Lead Agile delivery through system integrators and Saa S vendors with structured release cycles and continuous improvement. Deliver operational and portfolio reporting via Saa S-native tooling and Power BI; partner with the AI Products & Analytics Platforms team for advanced insight. Manage system integrators, Saa S/ERP vendors (e.g., IFS, SAP, Oracle), Microsoft ecosystem partners, and AI vendors. Enforce SLAs, KPIs, and business outcomes; apply Fin Ops-style cost discipline on platform and AI spend. <br><br>Qualifications<br><br>Preferred Qualifications:<br><br>Bachelor’s or master’s degree in Technology, Engineering, Data/AI, Finance, or a related field. «TO CONFIRM» Masdar’s preferred certifications. <br><br>Preferred Experience:<br><br>14–18+ years in enterprise systems and product/platform ownership (elevated from the source roles to reflect the combined senior mandate). Proven end-to-end deployment of PLM and project-based ERP systems (e.g., IFS Cloud / IFS Project Lifecycle, SAP S/4HANA Projects, Oracle Projects / Primavera) across Design → Build → Integration → Go-Live → Optimization. <br><br>Job-Specific Skills:<br><br>6+ years in the control-based document ecosystem (enterprise Share Point, Microsoft Syntex) or Equivalent and 5+ years delivering enterprise document-transformation programs. Hands-on experience building AI-driven document workflows and agent-based orchestration (Azure Open AI / Copilot / multi-agent frameworks), with the identity, guardrail, and audit rigor expected of financial-grade AI platforms. Investment lifecycle and M&A processes; capital project development and construction lifecycle; financial planning and portfolio reporting. API-first / composable architecture and ERP integration across finance, procurement, and engineering; operational reporting via Saa S + Power BI; strong outsourced / partner-led delivery and stakeholder influence across Investment, Finance, M&A, Development, and functional teams. Renewable energy, utilities, infrastructure, or financial/investment platform background preferred. <br><br>Role is to be based in Abu Dhabi, UAE. <br><br>Additional Information<br><br>As part of the application process, we will collect, store and process personal information about you.<br><br>Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.

Job Purpose<br><br>The Emirates Group is a highly profitable business comprising of Emirates Airline, the largest international airline in the world and dnata, one of the world's biggest air services providers. With our headquarters located in the cosmopolitan emirate of Dubai, working with us puts you at the forefront of technological advances in the aviation industry while offering you a dynamic lifestyle.<br><br>If you're seeking a position that will allow you to thrive professionally and develop your career in aviation industry, look no further. There are openings for individuals who are passionate about traveling and enjoy collaborating with customers and colleagues across the world.<br><br>We are looking for exceptional individuals who can be a part of our Customer Service team. If successful, you will join an extensive training program which include systems training and customer service skills and then be allocated to an area across the group: Emirates Airport Services, dnata, Marhaba services and Contact Centre.<br><br>During The Hiring Process, You Can Expect<br><br>Step 1 – Apply<br><br>Submit your application and we’ll then send you an email to confirm that we’ve received your application.<br><br>Step 2 – Review<br><br>Our Recruitment Team will review your application.<br><br>Step 3 – Video Interview and Assessment<br><br>If you’re shortlisted for the role, we’ll send you a link to our on-demand, interactive and gamified video interview assessment via Hire Vue. This is most critical part of the process and required if you want to progress to the next stage.<br><br>Step 4 – Offer<br><br>If successful, we’ll send you an offer of employment which will include the benefits package for your role.<br><br>We have outlined below the specific job details for each of our roles:<br><br>I. Customer-facing Roles<br><br>Airport / Customer Service Agent (Emirates and Dnata)<br><br>As an Airport / Customer Services Agent, you will be one of the first welcoming faces our customers meet at Dubai International Airport, a leading global aviation hub. Every day brings the opportunity to guide travellers from around the globe through check-in, boarding, arrivals, and baggage services with confidence, care, and professionalism.<br><br>From assisting lounge customers to supporting families, unaccompanied minors, connecting passengers, and those needing extra assistance, you will play a key role in ensuring every journey feels seamless and stress-free.<br><br>In this role, you will gain strong operational expertise, develop your people and problem-solving skills, and build a career in a dynamic, fast-paced, and highly international environment.<br><br>Strong performance in this role can also unlock opportunities for career progression and internal moves across airport operations, customer services, and wider business areas.<br><br>Marhaba Service Agent<br><br>As a Marhaba Services Agent, you will deliver a personalized airport experience to our guests, supporting them across key touchpoints including check-in, immigration, boarding and baggage services. You will provide dedicated assistance to VIP customers, families, unaccompanied minors and passengers requiring additional support. This role allows you to build strong customer engagement and service excellence skills, while offering career growth across Marhaba’s services, airport operations, and customer experience functions.<br><br>II. Contact Centre Role<br><br>Customer Sales and Service Consultant<br><br>As a Contact Centre Customer Sales and Service Consultant, you will be the trusted voice of Emirates, delivering exceptional support and care throughout every stage of our customers’ journey. Your role is pivotal in creating seamless, reassuring experiences, whether you are helping customers plan their travel or resolving real-time queries with confidence and empathy. In this dynamic position, you will engage with customers across multiple communication channels, ensuring that every interaction reflects clarity, consistency, and up-to-date knowledge of our products and services. Your ability to actively listen, think critically, and communicate effectively will make customers feel valued and supported at all times.<br><br>Joining the Contact Centre fast-paced, multicultural environment means you will not only sharpen your communication, problem-solving, and sales expertise but also unlock clear pathways for career growth, both within the Contact Centre and across the wider Emirates Group.<br><br>Qualification<br><br>To be considered for Customer Service roles, you must meet the following requirements:<br><br>Fluency in both spoken and written English Fluency in any other language is a plus A levels/High School certificate Excellent interpersonal and customer service skills Willing to work in a shift environment PC based skills to operate Windows package (Microsoft Word/Excel/E-mail) Willing to wear uniform (Front-line customer facing roles) <br><br>In addition to the above, the job specific requirements for the Contact Centre role are:<br><br>Proficiency in English and at least one of the following languages is a must-have requirement for this position: Arabic, French, Czech, German, Italian, Japanese, Cantonese, Mandarin, Russian, Spanish, Polish, Portuguese. Customer and sales focus on providing excellent service and closing any sales opportunity. The ability to type accurately and quickly while maintaining excellent written communication is an essential requirement for the messaging-based role.<br><br>Experience the excitement of being on the front-line customer-facing roles with dnata, Marhaba and Emirates Airport Services Agents, or work behind the scenes as a Customer Sales and Service Consultant at the Contact Centre . You'll have the chance to work with a diverse team of professionals, interact with people from all over the world, and make a positive impact on the lives of travellers every day. Both full-time and part-time opportunities are available, providing flexibility to fit your lifestyle and career goals. Whether it be Emirates Airline or dnata, our goal is to ensure that our customers experience service is consistent with the Emirates Group high standards.<br><br>Salary & benefits<br><br>Join us in Dubai and enjoy attractive salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.<br><br>Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website emiratesgroupcareers.com

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Overview of the role:</b></p><p>BYD is not just an automaker, it is a global technology company leading electric mobility, battery innovation, and sustainable transport solutions. Guided by our mission “Technological Innovations for a Better Life”, BYD is shaping a zero-emission future worldwide. As part of Al-Futtaim Automotive, you will be at the forefront of this transformation in the UAE, inspiring customers and turning digital leads into loyal buyers. This role is about more than selling cars, it’s about building trust, delivering experiences, and representing a brand that is redefining mobility.&nbsp;</p><p><br></p><p>We are looking for a Technical Advisor to join our BYD Aftersales team across various locations in the UAE. This role is responsible for providing expert technical guidance during advanced vehicle diagnostics, supporting service advisors and technicians, and ensuring complex customer concerns are accurately identified and resolved the first time. The successful candidate will play a key role in improving workshop efficiency, customer satisfaction, and brand confidence through strong technical expertise, clear communication, and hands-on diagnostic support.</p><p>&nbsp;</p><p><b>What you will do:</b></p><p>•&nbsp;&nbsp;Support service advisors during customer intake for advanced diagnostic cases by confirming reported symptoms and clarifying technical concerns.</p><p>•&nbsp;&nbsp;Conduct road tests and observations with customers where required to accurately understand and replicate vehicle issues.</p><p>•&nbsp;&nbsp;Provide hands-on technical support to diagnostic technicians throughout the repair process to ensure accurate and efficient resolution.</p><p>•&nbsp;&nbsp;Review and support warranty repair processes, ensuring reports and supporting documents are completed correctly and in line with principal requirements.</p><p>•&nbsp;&nbsp;Ensure diagnostic tools and equipment are available, updated, calibrated, and maintained according to distributor and principal guidelines.</p><p>•&nbsp;&nbsp;Collaborate with technical, warranty, branch, and training teams to improve repair quality, process compliance, and workshop performance.</p><p>•&nbsp;&nbsp;Coach and support technicians through technical information sharing, on-the-job guidance, and continuous improvement practices.</p><p>•&nbsp;&nbsp;Follow HSSE, 5S, SOPs, and principal standards to maintain a safe, compliant, and high-quality workshop environment.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required skills to be successful:</b></p><p>•&nbsp;&nbsp;Strong technical diagnostic capability within an automotive workshop environment.</p><p>•&nbsp;&nbsp;Ability to identify, replicate, and resolve complex vehicle faults accurately and efficiently.</p><p>•&nbsp;&nbsp;Good understanding of warranty repair processes, technical reporting, and principal standards.</p><p>•&nbsp;&nbsp;Hands-on experience using diagnostic tools and workshop equipment.</p><p>•&nbsp;&nbsp;Strong communication skills in English; Arabic language skills are highly preferred.</p><p>•&nbsp;&nbsp;Customer-focused approach with the ability to explain technical concerns clearly and professionally.</p><p>•&nbsp;&nbsp;Problem-solving mindset with strong attention to detail.</p><p>•&nbsp;&nbsp;Ability to work under pressure in a fast-paced, multicultural workshop environment.</p><p>•&nbsp;&nbsp;Continuous improvement mindset with the ability to coach and support technicians.</p><p>&nbsp;</p><p><b>About the team:</b></p><p>You will be part of the BYD Aftersales team, working closely with the Workshop Supervisor, Service Advisors, Workshop Controller/Planner, Diagnostic Master Technicians, Technical Support Engineer, Technical Support Manager, Warranty Team, Distributor Operations Team, and Al-Futtaim Automotive Talent Center. The team is focused on delivering high-quality technical support, improving Fix It First Time performance, enhancing customer experience, and maintaining strong brand standards across the UAE network.</p><p>&nbsp;</p><p><b>What equips you for the role:</b></p><p>•&nbsp;&nbsp;High school qualification in automotive or a related technical field.</p><p>•&nbsp;&nbsp;IMI or similar EV/PHEV certification is preferred.</p><p>•&nbsp;&nbsp;Valid UAE driving license is mandatory.</p><p>•&nbsp;&nbsp;Minimum 5 years of overall automotive dealership workshop experience.</p><p>•&nbsp;&nbsp;At least 2 years of experience in a similar Technical Advisor role, or 3 years of experience as a Diagnostic Master Technician.</p><p>•&nbsp;&nbsp;Experience supporting advanced diagnostics, technical reports, warranty approvals, and technician coaching.</p><p>•&nbsp;&nbsp;Previous experience with electric or hybrid vehicles is an advantage.</p></div>

Responsibilities<br><br>About the Team<br><br>We are upgrading the traditional procurement system into an AI-native procurement platform, with a strong focus on building Procurement Agents. As part of Byte Dance's Corporate Information department, we design and operate corporate service systems that support the company's global business growth and improve the day-to-day work efficiency and experience of employees worldwide.<br><br>Procurement is a complex, high-value domain full of long workflows, rich business rules, and real decision-making. It is one of the most promising places to apply cutting-edge AI Agent technologies to real, large-scale problems. We are reimagining how employees and business partners interact with procurement through intelligent agents, and building the underlying System AI Harness that lets agents plan, act, and deliver reliably.<br><br>As an intern, you will work alongside experienced engineers at the frontier of AI Agent engineering, get hands-on with real problems from day one, and receive mentorship to grow quickly. It is a great opportunity to explore emerging AI technologies, learn how a complex business domain works end to end, and make a real contribution during your internship.<br><br>We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.<br><br>Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.<br><br>Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.<br><br>Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.<br><br>Online Assessment<br><br>Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.<br><br>Responsibilities<br><br> Support the construction and cutting-edge exploration of Procurement Agents and the System AI Harness, contributing to feature design, implementation, and validation under the guidance of your mentor. Develop and maintain services, business logic, and data flows that power AI-native procurement, with attention to code quality and reliability. Explore AI Agent capabilities — such as planning, tool use, memory, and multi-step reasoning — and help turn them into working features that solve real procurement problems. Build quick prototypes, experiment with emerging AI techniques, and help translate promising ideas into practical product capabilities. Collaborate with product managers, designers, and engineers to break down problems and deliver complete solutions.<br><br><br>Qualifications<br><br>Minimum Qualifications<br><br> Currently enrolled in a bachelor's, master's, or PhD program in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electronic/Information Engineering, Mathematics, or a related field, with a solid academic record. Able to intern for a continuous period (ideally 3 months or more) and available for at least 3 days per week. Solid foundation in data structures, algorithms, and software engineering fundamentals from coursework or projects. Proficiency in at least one programming language (Golang / Java / Python), with good coding habits. Strong logical thinking, fast learning ability, and excellent independent thinking and problem-breakdown skills. Genuine curiosity and passion for exploring and applying frontier AI technologies; prior professional work experience is not required.<br><br><br>Preferred Qualifications<br><br> Coursework, research, or personal projects related to AI / machine learning / large language models. Prior internship, lab, open-source, or personal project experience demonstrating hands-on ownership of a non-trivial system (a strong plus, but not required). Exposure to LLM-based systems, prompt engineering, RAG, tool/function calling, or agent orchestration frameworks. Experience building small AI-powered applications, Agent-based demos, or developer productivity tools. Achievements in programming competitions (e.g., ACM/ICPC, Kaggle), research publications, or high-quality open-source contributions. A proactive, self-motivated mindset and strong drive to turn ideas into working products.<br><br><br>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br>About Us<br><br>Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join Byte Dance<br><br>Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Byte Dance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.