- Strong Python
- Hands-on GenAI/LLM application development
- RAG architecture and implementation
- Vector databases
- Embeddings, chunking and retrieval strategies
- LLM API/model integration
- Backend/API development
- Model evaluation
- Hallucination reduction/grounding
- Ability to take GenAI solutions from POC to production.
Responsibilities:
- Design and build production-grade GenAI capabilities
- Develop RAG and enterprise knowledge solutions
- Build AI agents integrating with enterprise applications/tools
- Improve response relevance and factual accuracy
- Implement evaluation frameworks
- Reduce hallucinations through grounding and validation
- Build reusable AI services/APIs
- Evaluate current LLMs and AI frameworks
- Mentor junior AI engineers
- Work closely with product/domain engineers