Senior/Lead Generative AI Engineer

6 days ago

Bengaluru, Karnataka, India Arting Digital Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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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