Senior Technical Specialist
Core
Design and implement autonomous AI agents and multi-agent systems to automate clinical study data processing, bridging LLM orchestration with pharmaceutical regulatory standards.
Role type
Senior IC machine-learning engineer (agentic AI)
Builds
Scalable, GxP-compliant ecosystems for clinical data capture, validation, and analysis
Domain
Pharma / Biomedical Informatics / Agentic AI
Deliverable
production ML models
Required skills
Python, AI orchestration frameworks (LangGraph, CrewAI, AutoGen, LlamaIndex), modern data engineering (SQL/NoSQL, APIs), vector databases (Chroma, Pinecone), RAG pipeline optimization, AWS, containerization (Docker, Kubernetes), CI/CD pipelines, Git, service observability, prompt engineering (Chain-of-Thought, ReAct, Reflection), human-in-the-loop workflows, tool-calling agents
Preferred skills
Master's or PhD in CS/AI, regulated industry experience (Healthcare, FinTech, Aerospace), security frameworks in agent workflows, clinical trial lifecycle knowledge, MLOps/DevOps, additional languages (C#, Java, JavaScript, R), Open Source contributions
Technologies
LangGraph, CrewAI, AutoGen, LlamaIndex, AWS, Docker, Kubernetes, Chroma, Pinecone
Responsibilities
Design and implement complex agentic workflows for clinical data management tasks; Build collaboration systems with specialized agents (Planner, Validator, Protocol Checker) to solve end-to-end data challenges; Apply systematic prompt engineering techniques to ensure high-precision clinical results; Deploy AI agents in cloud environments and build scalable applications for scientific data processing; Collaborate with data integrity teams to ensure agent decisions are traceable and reproducible; Create reliable Human-in-the-loop (HITL) workflows and tool-calling agents for highly regulated data challenges
Seniority
Senior, hands-on IC
