- 7+ years Python engineering experience, hands-on LLM/RAG work, familiarity with Redis or similar cache and a durable DB, REST APIs and CI/CD; preferred : experience with orchestration libraries (e.g., LangChain), vector indexes (FAISS/Milvus), and cloud platforms

Primary Responsibilities :

- Build production generative-AI agents and retrieval-augmented pipelines to power multi-turn conversational workflows using Python and agent orchestration patterns

- Mentor the team in building and implementing AI agents

- Implement one-question-at-a-time dialog flows and server-side context storage using a fast cache (e.g., Redis) and a durable database/checkpoint store

- Do prompt engineering, automated evaluation, and implement safety guardrails to reduce hallucinations and ensure reliable outputs

- Integrate with chatbots and other services (agent-to-agent patterns), including provenance/correlation headers and idempotent submit actions

- Deliver cloud-native services (serverless or containers), use containerization (Docker) and CI/CD for deployments

- Write tests (pytest or similar), add telemetry/tracing, and monitor system and model behavior for performance and drift

- Follow security and compliance best practices : data minimization, access controls, encrypted audit trails, and secure secret management

- Works with less structured, more complex issues