We are hiring an AI Integration Engineer to integrate MedGemma into our on-prem Hospital Information Management System (ZypoCare by Zyposoft). You will build/extend an AI microservice (FastAPI preferred) to provide context-aware clinical drafting and a screen-aware AI Copilot across HIMS modules. The integration must be secure (RBAC + audit logs), reliable (streaming chat, retries, timeouts), and support RAG with our internal SOPs/templates. Responsibilities Integrate MedGemma for local inference (GPU-ready, CPU fallback) Build RAG pipeline (embeddings + vector store + citations) Implement secure APIs (/chat streaming, /summarize, /extract) Enforce branch + role-based access, PHI-safe logs, full audit trails Integrate with Next.js web app (screen-aware summaries, copilot panel) Add observability + performance tuning + documentation/runbooks Must have Production LLM integration experience (HuggingFace/vLLM/Ollama/llama.cpp) FastAPI + Python, Docker, Postgres/Redis RAG + vector DB experience Security mindset for sensitive data Deliverables Working AI copilot integrated in our HIMS with RBAC, audit logs, RAG citations, streaming chat, and deployable Docker setup.