About project:

We're seeking a talented and passionate Gen AI Engineer to join our team. In this role, you'll leverage your deep understanding of LLMs and machine learning to design, develop, and deploy chatbots that deliver exceptional user experiences.

Job Title- Senior GenAI Engineer

Job Type- Permanent

Location- Onsite, Dubai

What You'll Do:

• Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI API (GPT-3.5 Turbo, GPT-4o, etc.) and frameworks like Langchain and Haystack.
• Using the Azure Cloud, develop and integrate AI-based chatbots with existing systems and platforms.
• Follow MLOps/LLMOps practices for efficient chatbot development, deployment, and management.
• Collaborate with Cloud and Digital teams, Data Engineers, Project Managers and Business stakeholders to ensure seamless chatbot integration and user adoption.
• Analyze chatbot performance data and identify opportunities for continuous improvement.

You're a Perfect Fit If You Have:

• A Master's degree in Statistics, Machine Learning, Mathematics, Computer Science, or a related quantitative field.
• 7+ years of experience in data science, with at least 5 x years focused on developing and deploying NLP solutions, including 2 x years developing AI-based chatbots or conversational AI systems.
• Hands-on with Vector DB & Graph DB (AI Search, Neo4j) and their use in semantic search.
• Must know AI/ML concepts and have hands-on experience with Langchain, LangGraph, and Haystack.
• Proficiency in programming languages like Python, SQL, Spark and potentially others (e.g., JavaScript).
• Hands-on experience with PyTorch and TensorFlow.
• Experience in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
• Experience working with the Azure ecosystem to deploy AI-based chatbots or conversational AI systems (including ADF, Databricks, Azure Functions, AI Document Intelligence, AI Search, AI Studio, App service, Bot Framework, Azure Cache for Redis, etc.)
• Familiarity with MLOps/LLMOps principles.
• Exceptional problem-solving skills and the ability to work on complex language understanding and Generative AI projects.
• Direct engineering experience in high-performance, large-scale ML systems.
• Experience working with structured and unstructured data processing methods.

·      Excellent communication and collaboration skills to work effectively with cross-functional teams.

About project:

We're seeking a talented and passionate Gen AI Engineer to join our team. In this role, you'll leverage your deep understanding of LLMs and machine learning to design, develop, and deploy chatbots that deliver exceptional user experiences.

What You'll Do:

• Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI API (GPT-3.5 Turbo, GPT-4o, etc.) and frameworks like Langchain and Haystack.
• Using the Azure Cloud, develop and integrate AI-based chatbots with existing systems and platforms.
• Follow MLOps/LLMOps practices for efficient chatbot development, deployment, and management.
• Collaborate with Cloud and Digital teams, Data Engineers, Project Managers and Business stakeholders to ensure seamless chatbot integration and user adoption.
• Analyze chatbot performance data and identify opportunities for continuous improvement.

You're a Perfect Fit If You Have:

• A Master's degree in Statistics, Machine Learning, Mathematics, Computer Science, or a related quantitative field.
• 7+ years of experience in data science, with at least 5 x years focused on developing and deploying NLP solutions, including 2 x years developing AI-based chatbots or conversational AI systems.
• Hands-on with Vector DB & Graph DB (AI Search, Neo4j) and their use in semantic search.
• Must know AI/ML concepts and have hands-on experience with Langchain, LangGraph, and Haystack.
• Proficiency in programming languages like Python, SQL, Spark and potentially others (e.g., JavaScript).
• Hands-on experience with PyTorch and TensorFlow.
• Experience in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
• Experience working with the Azure ecosystem to deploy AI-based chatbots or conversational AI systems (including ADF, Databricks, Azure Functions, AI Document Intelligence, AI Search, AI Studio, App service, Bot Framework, Azure Cache for Redis, etc.)
• Familiarity with MLOps/LLMOps principles.
• Exceptional problem-solving skills and the ability to work on complex language understanding and Generative AI projects.
• Direct engineering experience in high-performance, large-scale ML systems.
• Experience working with structured and unstructured data processing methods.

·      Excellent communication and collaboration skills to work effectively with cross-functional teams.

Skills

Nice-to-Have Skills:

• Deployed AI-based Chatbot following Microsoft enterprise-grade conversational bot reference architecture.
• Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless architectures.
• Experience with RESTful APIs, message brokers, and event-driven architectures.
• Knowledge on Microsoft Co-pilot Studio Implementation
• A passion for building user-centric experiences through conversational AI.