Lead AI Engineer Agentic Systems

Dear Candidate,

We have an excellent opportunity for an experienced Lead AI Engineer Agentic Systems

Position: Lead AI Engineer Agentic Systems

Experience: 6 Yrs to 12+ Yrs

Location: Bangalore

Skills:

Technical depth (Required)

• 57 years in software or ML engineering; 2+ years building and shipping production LLM or agentic AI systems.
• Hands-on proficiency with at least two agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI); you have debugged framework internals, not just followed tutorials.
• Direct SDK experience: Anthropic Claude API (tool use, streaming), OpenAI Assistants API, or Vertex AI Agent Builder.
• Python mastery: production-quality code, type annotations, unit and integration tests, packaging, and performance profiling.
• RAG pipeline depth: embedding model selection, vector stores (Pinecone, Weaviate, pgvector), hybrid retrieval, RAGAS or custom evaluation harnesses.
• Cloud deployment: AWS, Azure, or GCP. Docker, Kubernetes, IaC basics (Terraform or CDK), CI/CD pipelines.
• Agent observability: LangSmith, Helicone, or equivalent — you have diagnosed latency, cost, and quality issues in production traces.

Pharma / Life Sciences Domain (Required)

• Working knowledge of pharma commercial data: Rx/claims, NPI-level analytics, brand performance metrics.
• Experience operating in regulated data environments: GxP, 21 CFR Part 11, HIPAAcompliant data handling.
• Exposure to at least one of: medical affairs analytics, RWE, clinical operations data, HEOR/market access, or regulatory intelligence.

3. Leadership & Communication (Required) • Track record of shipping 2+ agentic or ML systems to production — not just proof-of-concepts — with documented performance benchmarks.

If you are interested, please share your updated resume along with the following details: kavita.k@aroha.co.in

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