Gen AI Engineer - RAG Systems & AI Transformation

Summary

We are seeking a highly skilled and forward-thinking GenAI Engineer to join our AI innovation team. This role is ideal for someone with deep technical expertise in Generative AI , a strong foundation in Python programming , and a passion for driving enterprise AI transformation .

You will be instrumental in designing, developing, and deploying advanced Retrieval-Augmented Generation (RAG) systems . You’ll also play a pivotal role in enabling our internal workforce to embrace and adopt AI technologies.

Your role in our mission

• Architect and implement scalable RAG systems using Python and modern GenAI tools.
• Build custom pipelines for document ingestion, chunking strategies, and embedding generation. Working knowledge in LlamaIndex is preferable.
• Have a deep knowledge in using AI augmented tools like GitHub Copilot. Experience in developing custom extensions
• Evaluate and implement different embedding models (OpenAI, Azure OpenAI, Cohere, etc.) and chunking strategies (fixed-size, semantic-aware, overlap-based).
• Create and optimize indexing strategies (vector, hybrid, keyword-based, hierarchical) for performance and accuracy.
• Work with Azure AI Services , particularly Azure Cognitive Search and OpenAI integration, to deploy end-to-end AI applications.
• Collaborate closely with cross-functional teams including data engineers, product managers, and domain experts.
• Conduct AI enablement sessions , workshops, and hands-on labs to upskill internal teams on GenAI usage and best practices.
• Participate in code reviews, contribute to best practices, and ensure the reliability, scalability, and maintainability of AI systems.

What we're looking for

What you should expect in this role