Senior / Lead Generative AI Engineer - LLM
Arting DigitalBangalore23 days ago
Job description8+ 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.
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 :
(ref : hirist.tech)
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Generative Ai Engineer • Bangalore