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<strong>This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer - Python and K8s based in United Arab Emirates.<br><br></strong>This role offers the opportunity to build open source software that transforms how complex information systems are operated across public clouds and private infrastructure. You will develop Python-based operations software designed to automate and simplify workloads running on Kubernetes. Working across the Linux stack, you will engage with technologies spanning networking, storage, virtualization, containers, and applications. The position combines software engineering rigor with a strong focus on reliability, scalability, testing, and operational excellence. You will collaborate with globally distributed engineering teams to deliver production-ready solutions for customers adopting modern cloud technologies. This is an ideal environment for engineers who enjoy distributed systems, open source development, and solving challenging infrastructure problems.<br><br><strong>Accountabilities<br><br></strong><ul><li>Design, develop, and maintain open source operations software using Python, with a focus on reliable and scalable workloads running on Kubernetes.</li><li>Work across the Linux stack, including the kernel, networking, storage, virtualization, containers, and applications.</li><li>Develop solutions that improve the reliability, automation, and operational efficiency of complex open source systems.</li><li>Build and improve high-quality monitoring and alerting infrastructure to support reliable production operations.</li><li>Simplify the operation of open source technologies for customers and the broader open source community.</li><li>Apply sound software architecture, engineering, testing, documentation, and quality practices throughout the development lifecycle.</li><li>Collaborate with other engineering teams to ensure products operate reliably, efficiently, and at production scale.</li><li>Follow agile software development methodologies and contribute to effective development workflows.</li><li>Share technical knowledge and coach colleagues where appropriate, helping strengthen engineering capabilities across the team.</li><li>Contribute to a healthy, collaborative engineering culture within a globally distributed organization.</li><li>Work remotely while participating in global company and team events, typically involving travel once or twice per year for up to two weeks.<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Bachelor’s degree or equivalent qualification in Computer Science, STEM, or a related technical field.</li><li>Strong professional experience developing software with Python and an enthusiasm for solving technically challenging problems.</li><li>Hands-on experience with Linux systems administration, package management, and production operations.</li><li>Practical experience with at least one public cloud platform.</li><li>Familiarity with Docker and Kubernetes and an understanding of containerized application environments.</li><li>Strong understanding of software reliability principles and a commitment to designing and developing dependable systems.</li><li>Interest in distributed systems and the ability to understand technologies across different layers of the Linux and cloud stack.</li><li>Strong engineering discipline, including experience with software testing, maintainable code, and technical documentation.</li><li>Good organization and time management skills, with a focus on delivering high-quality software within expected timelines.</li><li>Strong collaboration and communication skills, with the ability to work effectively within a globally distributed engineering team.</li><li>A genuine interest in open source software, cloud computing, and learning from technically strong colleagues.<br><br></li></ul><strong>Benefits<br><br></strong><ul><li>Fully distributed and remote work environment.</li><li>Twice-yearly in-person team sprints and opportunities to collaborate with colleagues around the world.</li><li>Personal learning and development budget of USD 2,000 per year.</li><li>Annual compensation review.</li><li>Performance-driven annual bonus or commission in addition to base compensation.</li><li>Recognition and rewards programs.</li><li>Annual holiday leave.</li><li>Maternity and paternity leave.</li><li>Employee Assistance Program.</li><li>Opportunities to travel to new locations and meet colleagues globally.</li><li>Priority Pass access and travel upgrades for eligible long-haul company events.</li><li>Compensation considers geographical location, experience, and performance, with benefits adapted to local needs.<br><br></li></ul><strong>How Jobgether Works<br><br></strong>We use an <strong>AI-powered matching process</strong> to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br><strong>Data Privacy Notice:</strong> By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.<br><br>

Quality & Support Engineer Dubai Must be an Emirati<br>We are looking for a Quality & Support Engineer to join the Digital & Innovation team of an international insurance broker in Dubai. The role combines QA automation, application support, troubleshooting, and continuous improvement, ensuring the quality, reliability, and performance of our digital applications.<br>Key Responsibilities:Develop and maintain automated tests using Playwright, Selenium, or similar tools. Perform manual and automated testing, including end-to-end testing. Integrate testing into CI/CD pipelines. Troubleshoot application issues, analyse logs, and manage incidents. Support application releases, deployments, monitoring, and maintenance. Work closely with developers, product teams, users, and vendors. Maintain technical documentation and support user training. Identify opportunities for automation and process improvement. Requirements:3-5 years of experience in QA, test automation, or application support. Must be an Emirati. Strong experience with Playwright/Selenium. Programming knowledge in Java Script, Python, or Java. Experience with CI/CD, SQL, APIs, web technologies, and system integrations. Strong troubleshooting and analytical skills. Bachelor's degree in Computer Science, IT, or a related field.

Role - Digital Twin Automator Location - Dubai Tenure: 6 months contractual Budget: 15K AED<br>Responsibilities Develop ETL tools using Arc Py, Python, FME, Oracle PLSQL and other related packages for automating data pipelines. Develop tools as per the guidelines from Digital Twin Specialist Perform task given by project execution team.<br>Expected Skills Minimum 5 years of working experience in Geospatial industry with good experience and understanding in ESRI (Arc GIS products) and CAD platforms (Auto CAD). Excellent experience in developing ETL scripts using FME Form and FME Flow. Experience working with Arc GIS Server / Portal platform and Arc SDE. Experience working with Oracle Enterprise database with SDE. Also, experienced in developing PLSQL scripts. Excellent experience in developing . NET, Python scripts and developing Geoprocessing scripts using Arc Py. Excellent experience in using Arc Objects for developing macros in Arc Map environment. Experience in developing customizations in Arc Pro. Good and positive attitude with enthusiasm to learn and produce results. Knowledge and experience in developing web applications and services using . NET framework will be preferred.

<ul><li><br><ul><li><p>Design, develop, and maintain scalable data pipelines using Snowflake.</p></li><li><p>Build and optimize ELT workflows using dbt.</p></li><li><p>Develop and orchestrate data pipelines using Apache Airflow.</p></li><li><p>Design and implement efficient data models to support analytical and business reporting</p></li></ul><p>requirements.</p><ul><li><p>Perform data ingestion from multiple structured and semi-structured data sources.</p></li><li><p>Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse</p></li></ul><p>optimization.</p><ul><li><p>Develop reusable, scalable, and maintainable SQL transformations.</p></li><li><p>Implement data quality checks, validation, and monitoring processes.</p></li><li><p>Collaborate with Data Architects, Business Analysts, BI Developers, and cross-functional teams to</p></li></ul><p>deliver robust data solutions.</p><ul><li><p>Troubleshoot production issues and ensure high availability of data pipelines.</p></li><li><p>Follow best practices for version control, CI/CD, testing, and documentation.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>8+ years of experience in Data Engineering.</p></li><li><p>Strong hands-on experience with Snowflake.</p></li><li><p>Advanced SQL programming and query optimization.</p></li><li><p>Mandatory experience with Apache Airflow.</p></li><li><p>Mandatory experience with dbt (Data Build Tool).</p></li><li><p>Strong understanding of ETL/ELT concepts and modern data engineering practices.</p></li><li><p>Experience building and maintaining enterprise-scale data pipelines.</p></li><li><p>Proficiency in Python for data engineering and automation.</p></li><li><p>Experience working with Git and version control.</p></li><li><p>Good understanding of data modeling techniques (Star Schema, Snowflake Schema, Dimensional</p></li></ul><p>Modeling).</p><ul><li><p>Experience working with structured and semi-structured data formats such as JSON, Parquet, and</p></li></ul><p>Avro.</p><ul><li><p>Strong analytical, debugging, and problem-solving skills.</p></li></ul>

<ul><li>Design and implement robust data pipelines that ensure seamless data flow from various sources to data storage solutions.</li><li>Optimize data ingestion and transformation processes to improve performance and reduce latency for real-time analytics.</li><li>Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.</li><li>Ensure data quality and integrity by implementing automated data validation and monitoring systems.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.</p></li><li><p>4+ years of experience in Data Engineering, Data Integration, and Cloud Data Platforms.</p></li><li><p>Strong expertise in Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Storage Accounts.</p></li><li><p>Hands-on experience with Databricks Medallion Architecture and Delta Lake implementation.</p></li><li><p>Extensive experience building solutions using Python and PySpark.</p></li><li><p>Proven experience integrating Microsoft Dynamics 365, Salesforce, Oracle Fusion, SharePoint, REST APIs, SFTP, and database systems.</p></li><li><p>Strong understanding of ETL/ELT frameworks, data modeling, and data warehousing concepts.</p></li><li><p>Experience with Self-Hosted Integration Runtime (SHIR) configuration and maintenance.</p></li><li><p>Strong SQL development and database optimization skills.</p></li><li><p>Excellent troubleshooting, analytical, and problem-solving abilities.</p></li><li><p>Strong communication, stakeholder management, and documentation skills.</p></li></ul>

<ul><li>Design, develop, and deploy sophisticated conversational AI models, including NLU, NLG, and dialogue management systems, to power intelligent chatbots and virtual assistants.</li><li>Implement and fine-tune state-of-the-art machine learning algorithms and deep learning architectures for intent recognition, entity extraction, and sentiment analysis.</li><li>Build and maintain robust data pipelines for training and evaluating conversational AI models, ensuring data quality and scalability.</li><li>Integrate conversational AI solutions with existing platforms and APIs, enabling seamless user experiences across various channels.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Education & Experience �Bachelor’s or Master’s degree in Computer Science, #ArtificialIntelligence, Data Science, Engineering, or a related field. �4–8 years of experience in AI/ML, NLP, Generative AI, or Conversational AI development. �Minimum 2+ years of hands-on experience building #LLM/ #GenerativeAI solutions. �Strong experience delivering AI solutions from development through production deployment. Required Technical Skills �Strong programming experience in #Python. �Hands-on experience with Generative AI and Large Language Models (LLMs). �Strong understanding of NLP, Machine Learning, and #ConversationalAI concepts. �Experience developing #RAG-based applications and knowledge-grounded AI solutions. �Experience with Prompt Engineering and #LLM evaluation. �Hands-on experience with #LangChain, #LangGraph, #LlamaIndex, or equivalent frameworks. �Experience with vector databases such as Pinecone, Milvus, Weaviate, Chroma, or FAISS. �Experience working with #RESTAPIs, #microservices, and cloud-based AI services. �Good understanding of #SQL and #NoSQL databases. �Experience with #Git, #CI/CD, #Docker, and #cloud platforms such as #Azure, #AWS, or GCP. Skills Python LLM NLP</p></li></ul>

<p>International Energy Resources is seeking an experienced Odoo ERP Techno-Functional Engineer to join our growing team. This role is ideal for someone who combines strong Odoo development expertise with a solid understanding of ERP business processes and enjoys working closely with stakeholders to deliver practical business solutions. As part of our digital transformation journey, you will play a key role in enhancing our Odoo ERP platform, supporting business process improvements, leading system integrations, and preparing the organization for the UAE's upcoming e-Invoicing requirements.</p><br><p><strong>Key Responsibilities:</strong></p><br><ul><li><p>Analyze business requirements and translate them into functional and technical ERP solutions.</p></li><li><p>Configure, customize, and develop Odoo modules across Finance, Procurement, Inventory, Manufacturing. </p></li><li><p>Lead and support the implementation of UAE e-Invoicing requirements, including system integrations and regulatory compliance.</p></li><li><p>Develop and maintain custom Odoo applications using Python.</p></li><li><p>Integrate Odoo with third-party systems, APIs, and business applications.</p></li><li><p>Support ERP enhancements, upgrades, testing, deployments, and user training.</p></li><li><p>Collaborate with business users to optimize workflows and improve operational efficiency.</p></li><li><p>Troubleshoot system issues and provide ongoing technical and functional support.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ol><li><p>Experience with UAE e-Invoicing, VAT compliance, ERP integrations is a strong advantage.</p></li><li><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</p></li><li><p>Minimum 3–5 years of experience in Odoo ERP development and techno-functional consulting.</p></li><li><p>Strong experience with Odoo v17+ and Python.</p></li><li><p>Good understanding of Manufacturing, Inventory, Procurement, Finance, and Supply Chain processes.</p></li><li><p>Knowledge of ERP implementation methodologies and business process mapping.</p></li></ol>

<strong>Job Purpose<br><br></strong>As an AVP– Data Science, you will design, build, and productionize advanced analytics and AI solutions that drive measurable business value. You will work closely with Data Product Owners, Data Analysts, BI Developers, and Data Quality Specialists to translate complex business challenges into data-driven models and experiments. Leveraging Python, SQL, and modern ML frameworks, you will develop scalable machine learning solutions that are explainable, governed, and aligned with organizational priorities.<br><br><strong>Roles And Responsibilities<br><br></strong>Translate business problems into data science projects by defining clear hypotheses, success metrics, and validation methods.<br><br>Explore, clean, and transform structured and unstructured data using Python and SQL to prepare high-quality datasets for modeling.<br><br>Design, train, and evaluate machine learning models using appropriate algorithms and statistical techniques (e.g., regression, classification, clustering, NLP, forecasting).<br><br>Collaborate with engineering and platform teams to productionize AI models through reproducible pipelines and CI/CD workflows.<br><br>Apply model explainability, fairness, and interpretability techniques (e.g., SHAP, LIME, feature importance) to ensure transparency and accountability.<br><br>Support AI governance activities, including Model Risk Management (MRM) processes, ensuring compliance and responsible use of AI.<br><br>Conduct and analyze A/B tests or controlled experiments to assess model and feature performance.<br><br>Work with Data Product Owners to define business outcomes, monitor model performance post-deployment, and ensure continued relevance.<br><br>Collaborate with Data Quality Specialists to ensure input data meets quality, lineage, and governance standards.<br><br>Communicate results effectively through visualizations, storytelling, and presentations tailored to technical and non-technical audiences.<br><br><strong>Related Years Of Experience<br><br></strong>6+ years of experience in data science, applied machine learning, or advanced analytics.<br><br>Proven experience delivering models that have been deployed and integrated into business processes or digital products.<br><br>Experience working in agile, cross-functional teams with Product Owners, Data Analysts, and Data Engineers.<br><br><strong>Field Of Experience<br><br></strong>Analytics, Data Science, Artificial Intelligence<br><br><strong>Technical And Interpersonal Skills<br><br></strong>Advanced proficiency in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM).<br><br>Strong command of SQL for data extraction, transformation, and validation.<br><br>Experience working in Databricks or equivalent data and ML platforms.<br><br>Familiarity with deep learning frameworks (PyTorch, TensorFlow) and ML lifecycle tools (MLflow, Airflow, Docker, Kubernetes).<br><br>Understanding of model explainability, ethics, fairness, and governance.<br><br>Knowledge of AI governance processes and documentation standards, including Model Risk Management (MRM).<br><br>Exposure to cloud platforms (Azure, Snowflake) and APIs for integrating AI models into applications.<br><br>Familiarity with version control (Git/GitHub) and collaborative coding practices.<br><br>Excellent communication skills to explain technical findings in clear business terms.<br><br>Collaborative and curious, with a passion for continuous learning and innovation<br><br><strong> QUALIFICATION <br><br></strong>Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.<br><br>Master’s degree or higher in Data Science, Machine Learning, or Applied Statistics is an advantage.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<p>Working at the intersection of quantitative modelling, software engineering and investment analytics, you will lead the continued evolution of a proprietary in-house platform while remaining deeply involved in architecture, coding and model development. Client Details Our client is a leading institutional investment organisation. Description * Own and enhance a proprietary liquidity and return modelling framework covering both public and private market investments. * Lead the development of institutional-grade analytical applications built in Python and SQL, supporting portfolio management and balance sheet modelling activities. * Design and oversee enterprise data architecture, ETL processes and system integrations across investment, performance and accounting platforms. * Deliver scalable analytics and reporting solutions used by senior leadership and governing committees for investment decision-making. * Manage external development resources whilst establishing engineering standards, development governance and technical best practice. Job Offer * Opportunity to work on complex public and private market portfolios within a sophisticated institutional investment environment. * Competitive package and long-term career growth within a high-performing investment team.</p><p>* 8-10+ years' experience within a sovereign wealth fund, pension fund, endowment, insurance asset manager, secondaries investor or institutional investment platform. * Demonstrated experience developing or maintaining quantitative models for liquidity forecasting, portfolio cash flows, commitment pacing, return forecasting or asset allocation across public and private markets. * Advanced hands-on programming experience in Python and SQL, with the ability to independently analyse, debug and enhance production code. * Strong knowledge of investment data architecture, database technologies, ETL frameworks and Snowflake environments. * Previous experience leading technical resources and working directly with investment professionals, portfolio analytics teams and senior stakeholders.</p>

Who are we?<br><br>Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.<br><br>We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.<br><br>We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.<br><br>We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!<br><br>About North<br><br>North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.<br><br>Why This Role?<br><br>This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.<br><br>We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.<br><br>Note: between 20 - 40% travel anticipated<br><br>In This Role, You Will<br><br>Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization Travel up to 20–40% to work on-site with customers and partners<br><br>You May Be a Good Fit If<br><br>You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs You have experience owning the full scope of a use case end-to-end You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting<br><br>It's a Bonus If You Have<br><br>Experience setting architectural standards for AI and agentic systems across distributed teams Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) Experience with enterprise security, compliance, or auditability requirements for AI systems<br><br>We are open to candidates currently based in the Middle East or who are open to travelling or relocating.<br><br>Full-Time Employees At Cohere Enjoy These Perks<br><br>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme.100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits:<br><br>Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.<br><br>Education & learning stipend for conferences, courses, and coaching.<br><br>6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite.<br><br>How And Where We Work<br><br>Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly.<br><br>If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.<br><br>We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.<br><br>We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.<br><br>Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and Linked In only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong><span>We help the world run better</span></strong><span><br>At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</span></p><br> <p><strong><span>What you'll build</span></strong></p><br> <br> <p><span>In this role, you design, build, and operate AI-native enterprise applications that combine cloud-native software engineering with production-grade machine learning and agentic AI capabilities, embedded directly within customer environments and fast-moving delivery teams. You translate ambiguous business and operational requirements into secure, scalable, and reliable solutions — owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams. You are accountable for the technical quality, reliability, and impact of application solutions within your scope and apply modern AI-assisted engineering practices and architectural guardrails aligned with SAP standards to enable responsible and scalable AI adoption.</span></p><br> <br> <p><strong><span>In this role, you will:</span></strong></p><br> <br> <ul> <li> <p><span>Design, develop, and operate production-grade, cloud-native enterprise applications integrating AI capabilities such as large language models, retrieval-augmented generation (RAG), and agent-based workflows.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Embed directly into customer projects and fast-moving cross-functional teams to rapidly understand business processes, technical landscapes, and operational challenges.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Translate business and product requirements into robust application architectures, balancing speed, quality, security, and long-term maintainability.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Rapidly prototype, iterate, and productionize solutions in customer environments, adapting reference architectures and reusable assets to real-world enterprise constraints.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Own application delivery end-to-end — from problem framing and prototyping through deployment, observability, and production operations.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails to ensure compliant, trustworthy, and high-quality solutions.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Ensure delivery milestones, quality standards, and technical objectives are met, proactively managing risks and technical escalations within scope.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Act as a key technical interface to customers and internal stakeholders, clearly communicating solution approaches, trade-offs, and progress.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Contribute to engineering standards, best practices, and reusable components to improve efficiency and consistency across solutions.</span></p><br> </li> </ul> <br> <p><strong><span>What you bring:</span></strong></p><br> <br> <br> <ul> <li> <p><span>Extensive hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments, with strong knowledge of architectural principles such as scalability, security, and reliability.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Proven ability to design and deliver AI-native applications, utilizing large language models, RAG architectures, vector databases, and agentic systems to innovate enterprise workflows.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Strong proficiency in widely used AI/ML Python libraries and frameworks, with exposure to data pipelines and MLOps practices.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Skilled in integrating Agentic AI into complex business processes, ensuring responsible and effective use of AI agents within enterprise operations.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Strong problem-solving skills, critical thinking, and exposure to design thinking practices; proven ability to mentor teams and establish development guardrails and best practices.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Proven ability to mentor and inspire teams, establish best development guardrails and practices, and drive engineering culture across delivery teams.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Exposure to SAP AI technologies such as SAP AI Core, Vectorization, Joule Studio, RPT-1, and Business Data Cloud is a strong advantage.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Experience owning solutions across the full application lifecycle — from design and implementation to deployment and production operations.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Strong collaboration and communication skills to work effectively with cross-functional teams and customer stakeholders on complex technical topics.</span></p><br> </li> </ul> <br> <ul> <li> <p><span>Learning mindset, technical leadership, and accountability in high-impact, ambiguous environments; you proactively leverage AI in everyday workflows to ensure high-quality outputs.</span></p><br> </li> </ul> <br> <p><strong><span>Where you belong:</span></strong></p><br> <br> <p><span>You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. This team thrives on turning complex business challenges into practical, scalable solutions. We value curiosity, ownership, and continuous learning — and encourage new ideas where real-world impact matters. You will thrive here if you are customer-centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast-evolving AI landscape.</span></p><br> <br> <br> <p><strong><span>Bring out your best</span></strong><span><br>SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.&nbsp;&nbsp;<br></span><strong><span>We win with inclusion</span></strong><span><br>SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>For SAP employees: Only permanent roles are eligible for the </span><span>SAP Employee Referral Program<span>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,&nbsp; gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br></span></span><span>Successful candidates might be required to undergo a background verification with an external vendor.</span></p><br> <p><strong><span>AI Usage in the Recruitment Process</span></strong></p><br> <p><span>For information on the responsible use of AI in our recruitment process, please refer to our </span><span>Guidelines for Ethical Usage of AI in the Recruiting Process</span><span>. </span></p><br> <p><span><span>Please note that any violation of these guidelines may result in disqualification from the hiring process.</span><span><br>Requisition ID: 457076 &nbsp;| Work Area: Software-Design and Development &nbsp;| Expected Travel: 0 - 10% &nbsp;| Career Status: Professional &nbsp;| Employment Type: Regular Full Time &nbsp;&nbsp;| Additional Locations: &nbsp;#LI-Hybrid<br></span></span></p><br> </div>

Quantitative Developer – Hedge Fund<br>A small but rapidly growing hedge fund are expanding their quantitative development team and are looking for an experienced Quantitative Developer to play a key role in building out risk and middle office systems.<br>You will have a strong understanding of risk management, portfolio management, and market data systems, as well as traded financial products, and initially help build out the fund’s data platform, then supporting trading and risk workflows.<br>Significant progression for the successful candidate is expected. This is a highly business-visible role within a smaller company with significant investment and aspiration, and as such this person is expected to provide leadership from a sole contributor perspective, but later progress to a broader leadership position.<br>You should apply for this role if you are/have:<br>10+ years software engineering and/or quantitative development experience Significant hedge fund, asset management, and/or sales/trading environment experience Proven experience building production systems form scratch in Python and SQLSignificant experience implementing CI/CD, orchestration, and observability solutions Understanding of traded financial products (equities, fixed income, FX) Degree educated or higher form a leading academic institution<br>This is a permanent role with a base salary + bonus compensation structure. Package dependent on experience.

<ul><li><p><strong>Automation Engineering</strong></p><ul><li><p>Build and maintain scalable UI and API automation frameworks using <strong>Playwright (TypeScript/JavaScript or Python)</strong>.</p></li><li><p>Integrate automated tests into CI/CD pipelines.</p></li><li><p>Improve execution speed, reliability, and reduce flaky tests.</p></li></ul><p><strong>Backend & Event-Driven Testing</strong></p><ul><li><p>Validate asynchronous workflows and distributed systems using <strong>Kafka</strong> or similar messaging platforms.</p></li><li><p>Implement <strong>contract testing</strong> and schema validation to ensure reliable communication between microservices.</p></li><li><p>Verify event publishing, consumption, and end-to-end data integrity.</p></li></ul><p><strong>AI & LLM Validation</strong></p><ul><li><p>Test and evaluate GenAI/LLM-based features for accuracy, relevance, and hallucination handling.</p></li><li><p>Work with evaluation frameworks such as <strong>Ragas, LangSmith, or TruLens</strong>.</p></li><li><p>Build and maintain datasets for regression and prompt validation.</p></li></ul><p><strong>Collaboration</strong></p><ul><li><p>Work closely with developers, AI engineers, and product teams to define quality strategies.</p></li><li><p>Participate in architecture, API, and prompt design discussions.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5+ years of experience in QA Automation or Software Testing.</p></li><li><p>Strong hands-on experience with <strong>Playwright</strong>.</p></li><li><p>Experience testing APIs, microservices, and event-driven systems.</p></li><li><p>Good understanding of <strong>Kafka</strong>, contract testing, and schema validation.</p></li><li><p>Exposure to AI/LLM testing and RAG-based applications.</p></li><li><p>Proficiency in <strong>TypeScript, JavaScript, or Python</strong>.</p></li><li><p>Experience with CI/CD pipelines, Docker, and Kubernetes is a plus.</p></li></ul><br><p><strong>Skills</strong></p><p>Playwright</p><p>API Testing</p><p>Microservices</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>AI &amp; Automation Specialist – Real Estate Brokerage</p><p>Location: Dubai, UAE</p><p>Employment Type: Full-time</p><p>Work Model: On-site</p><p>Industry: Real Estate Brokerage</p><p>About the Role</p><p>We are looking for a hands-on AI &amp; Automation Specialist to lead the implementation, development and continuous improvement of AI and automation across the company's operations.</p><p>The main objective of this role is to identify repetitive and manual processes, automate them, improve employee productivity, enhance lead and customer management, and introduce practical AI solutions across the business.</p><p>We are looking for a practical, innovative and fast-learning professional who can identify problems, research solutions and implement AI-powered systems.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Required Skills</p><p><br></p><p>Basic</p><p><br></p><p>- Practical experience using and implementing AI tools.</p><p>- Understanding of AI Automation and AI Agents.</p><p>- Ability to analyze business processes and identify automation opportunities.</p><p>- Fast learner with the ability to research and implement new technologies.</p><p>- Strong problem-solving skills.</p><p>- Ability to work independently and propose solutions.</p><p>- Good knowledge of ChatGPT / Claude / Gemini.</p><p>- Ability to train and support employees in using AI tools.</p><p><br></p><p>Additional Skills – Advantage</p><p><br></p><p>Experience with one or more of the following:</p><p><br></p><p>- n8n</p><p>- Make</p><p>- Zapier</p><p>- Power Automate</p><p>- CRM systems</p><p>- WhatsApp Automation</p><p>- APIs / Webhooks</p><p>- Python / JavaScript</p><p>- AI Agents</p><p>- AI Chatbots</p><p>- AI Voice Agents</p><p>- Data Analysis</p><p>- Google Sheets / Excel Automation</p><p>- Real Estate Technology</p><p>- Property Finder / Bayut / Dubizzle</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> DevOps Specialist is responsible for building and maintaining automation pipelines, improving deployment reliability, and ensuring stable, scalable infrastructure. Work closely with developers and operations teams to optimize CI/CD processes, monitor system performance, and implement tools and practices that enhance speed, quality, and operational efficiency across the software lifecycle.<br> <br> <strong>Qualifications</strong> <ul> <li>Bachelors Degree in Computer Science, Engineering or related field. </li><li>Advanced certifications in software engineering. </li><li>3 years as hands-on DevOps&nbsp; </li><li>UAE National / Emirati&nbsp; </li></ul> <br> <strong>Roles and Responsibilities</strong> <ul> <li>Support deployment, operation, and automation of cloud-native applications. Maintain CI/CD pipelines, managing Docker and Kubernetes environments, monitoring system performance, troubleshooting infrastructure issues, and assisting with cloud platform operations. Basic knowledge of Linux, Git, Docker, Kubernetes, CI/CD tools, and scripting (Bash or Python). </li><li>Design, develop, and maintain Java applications using industry best practices and standards under guidance from senior team members </li><li>Write clean, maintainable, and efficient code following established coding standards and participating in code reviews </li><li>Collaborate with product managers, business analysts, and other stakeholders to understand requirements and contribute to technical solutions </li><li>Actively learn new technologies and methodologies to improve development skills and contribute to team knowledge sharing </li><li>Write unit tests and maintain technical documentation for developed features and applications </li><li>Investigate, troubleshoot, and resolve software defects in a timely manner </li></ul> #LI-JS1 <br><br> </div>

<p>Position Title: AI Implementation Officer Employment Type: Full Time Salary AED: Up to 10,000 inclusive depending on experience and qualifications Job Location: Dubai, UAE About the Client: A Dubai-based enterprise, with a continuously growing portfolio of various industries including luxury fashion, couture accessories, and lifestyle brands Job Description: § Support the planning, coordination, and deployment of AI projects, including researching and recommending suitable AI tools and solutions. § Build and implement automations using no-code/low-code platforms such as Zapier, Make (Integromat), or Microsoft Power Automate. § Collaborate with cross-functional teams to analyze workflows, identify process improvement opportunities, and integrate AI-driven solutions. § Maintain clear documentation of automations and workflows and provide regular reports and updates on project progress and outcomes.</p><p>Qualifications: § Female,aged 38 years old and below § 1–3 years of experience in a technology, operations, or process improvement role. § Hands-on experience with no-code/low-code tools (e.g., Zapier, Make, Microsoft Power Automate) and familiarity with AI tools (e.g., ChatGPT, Claude, Gemini). § Strong understanding of automation, process mapping, and prompt engineering, with exposure to Python or JavaScript, plus proficiency in project management tools (Asana, Jira, Notion, Trello) and solid analytical skills.</p>