Applied AI Developer III (AI Laboratory)
Core
Design and deploy AI components, prototypes, and production-ready solutions integrated into healthcare software products, focusing on LLM integration, RAG pipelines, and AI operations.
Role type
Senior Applied AI Developer (LLM & RAG focus)
Builds
AI-powered features, RAG pipelines, and deployment pipelines for healthcare information systems.
Domain
Healthcare technology / Applied AI
Deliverable
production ML models
Required skills
Python, LLM integration, RAG architecture, MLOps/LLMOps, data engineering, NLP, vector databases, AI orchestration frameworks
Preferred skills
C#/.NET, HL7/FHIR, sovereign AI deployment, PEFT/LoRA fine-tuning, ETL pipelines
Technologies
LangChain, LlamaIndex, Hugging Face, vLLM, Ollama, Azure OpenAI, Claude Code, OpenCode, Codex, MCP, Skills
Responsibilities
Build and integrate LLMs into product workflows; design and implement RAG pipelines for clinical data; maintain AI deployment pipelines and monitor model performance; prototype and evaluate new AI approaches.
Seniority
Senior, hands-on IC