Dear Candidate,

We have an excellent chance 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: [email protected]

- Total Experience
- Relevant Experience in IT Recruitment
- Current CTC
- Expected CTC
- Notice Period
- Current Location

📌 Lead AI Engineer Agentic Systems (Bengaluru)
🏢 Aroha Technologies
📍 Bengaluru