We are looking for a Senior GenAI Engineer to join a high-impact AI initiative focused on automating complex, multi-step document generation workflows through state-of-the-art AI agents. The platform transforms raw clinical and unstructured data into structured, compliant outputs at scale.

This is a hands-on builder role. You will code every day, working within an existing agentic architecture to extend, optimize, and improve the GenAI-facing components of the platform.

What You'll Do

• Build and optimize multi-agent orchestration systems and autonomous workflows
• Design and scale advanced RAG pipelines over large, heterogeneous datasets
• Implement state management, short/long-term memory, and self-correction loops within agent networks
• Create evaluation metrics, observability pipelines, and guardrails for hallucination reduction and content quality
• Optimize AI inference cost, latency, token usage, and system reliability
• Implement security controls including access management, data encryption, and prompt injection mitigation
• Document and share reusable agent patterns and prompt libraries across engineering teams

Required Skills

GenAI & Agentic Frameworks

• LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen
• Advanced RAG, GraphRAG, prompt engineering, fine-tuning, function/tool-calling
• Schema-constrained outputs, semantic caching

Vector Databases

• At least one of: FAISS, Pinecone, Qdrant, Milvus, Weaviate, Pgvector

LLM Infra & Serving

• vLLM, Hugging Face TGI, or Ollama

Guardrails & Validation

• Pydantic, Instructor, NeMo Guardrails or Guardrails AI

Observability

• Ragas, DeepEval, Langfuse, or LangSmith

Engineering

• Python (FastAPI, asyncio), Docker, Kubernetes, CI/CD, Git, OpenTelemetry
• MCP and Agent2Agent protocols a plus

AWS (Preferred)

• Amazon Bedrock, SageMaker, OpenSearch, Step Functions

Nice to Have

• Experience in pharma, biotech, or life sciences environments
• Familiarity with clinical document workflows (protocols, study reports)
• Knowledge of GxP or 21 CFR Part 11 compliance frameworks
• Exposure to CDISC standards (SDTM, ADaM)

Profile

• 6+ years in software/data engineering, including 2-3 years hands-on GenAI/LLM in production
• Comfortable working autonomously within an existing technical architecture
• Strong communicator : able to document complex systems and collaborate with cross-functional teams

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