
Senior/Lead Generative AI Engineer
2 weeks ago
Position :
Senior/ Lead GenAI Engineer
Experience :
5 to 12 Years
Location :
Bangalore
Primary Skills :
Python, GenAI, LLM, RAG, LangGraph, AWS/ GCP/ Azure
Key Responsibilities
- Define and own backend architecture for multi-agent systems, Agent development, and MCP-powered interoperability.
- Design Agentic RAG pipelines combining vector DBs and knowledge graphs with persistent memory (short-term, long-term, shared).
- Establish standards for MCP tool adapters, context servers, and agent protocols to ensure secure and scalable communication.
- Mentor the engineering team, lead reviews, and champion best practices.
- Build APIs and services in Python (FastAPI/Flask) for LLM integration (OpenAI, Bedrock, Azure AI, Claude).
- Implement LangGraph- and Autogen-based orchestration frameworks for agent collaboration.
- Integrate observability and guardrails (Langfuse, Aporia, OPA/Rego) to enforce compliance and responsible AI.
- Optimize inference workloads with batching, caching, and streaming pipelines.
Qualifications
- 8+ years backend engineering (Python mandatory), 3+ years in GenAI/LLM-powered systems.
- Proven expertise in Agentic RAG, multi-agent frameworks (LangGraph, Autogen), and MCP-based agent orchestration.
- Experience with knowledge graphs, ontologies, memory layers, and retrieval pipelines.
- Deep understanding of cloud-native deployments (AWS Lambda, Kubernetes, EventBridge, RDS, S3).
- Prior experience leading backend/GenAI engineering teams at enterprise scale.
- Familiarity with pharma/life sciences compliance frameworks is a strong plus.
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