Creyente Infotech is looking for a strong hands-on Senior GenAI Engineer to help build the AI intelligence layer behind our enterprise technology products.
This is a build role, not a research-only role .
You'll work on
- LLM-powered enterprise applications
- RAG and knowledge retrieval
- AI agents & tool calling
- Vector databases
- Prompt/context engineering
- Model evaluation and hallucination reduction
- AI observability and guardrails
- Enterprise data and system integrations
- Production deployment of GenAI solutions
We need
- Robust Python
- Hands-on production GenAI/LLM application development
- RAG architecture and implementation
- Vector DB experience
- APIs/backend engineering
- Experience with leading LLMs
- Strong understanding of embeddings, chunking, retrieval and evaluation
- Ability to take AI solutions from POC to production
Experience with AWS Bedrock, LangChain or LlamaIndex, Qdrant or Pinecone or Weaviate, agentic AI or enterprise AI products is valuable. You won't just experiment with AI – you'll build AI that engineers and enterprise users depend on.