Lead/Senior AI Developer (Agentic Healthcare Application)
Core
Architect and build agentic AI workflows where LLMs function as reasoning engines to plan multi-step tasks, utilize external tools, and collaborate to achieve high-level goals in healthcare.
Role type
Senior IC AI Developer (Agentic Workflows)
Builds
Autonomous agent systems for clinical data interpretation, risk assessment, and conversational user experiences.
Domain
Healthcare / Generative AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
LangChain, LangGraph, Vertex AI SDK, ADK, Function Calling, Context Caching, RAG, Vector Databases, Python, FastAPI, Docker, SQL, BigQuery
Preferred skills
Healthcare domain knowledge, MCP protocols, scalable distributed systems
Technologies
Google Cloud Platform (Vertex AI, Cloud Run, GKE, BigQuery, Vector Search), LangChain, LangGraph, FastAPI, Docker, Pinecone, Milvus
Responsibilities
Design autonomous control loops for agents to interpret clinical data and generate risk assessments; Implement RAG systems grounded in official medical literature; Build Python tools for secure data querying; Deploy agents ensuring low-latency inference and HIPAA/GDPR compliance; Mentor engineers in MLOps best practices; Implement LLM-as-a-Judge frameworks for agent evaluation.
Seniority
Senior, hands-on IC
