Senior AI Engineer
Core
Design, develop, and deploy multi-agent AI systems and LLM applications to enhance clinical workflows and operational efficiency in healthcare.
Role type
Senior IC AI Engineer (Multi-Agent Systems & LLMs)
Builds
Production-grade AI applications, autonomous agent workflows, and intelligent healthcare solutions
Domain
Healthcare + Applied AI / LLMs
Deliverable
production ML models
Required skills
Multi-agent system design, LLM application development, agent orchestration, Python, RAG pipelines, vector databases, prompt engineering, API integration, cloud platforms (AWS/Azure/GCP), Docker, CI/CD
Preferred skills
Model fine-tuning, structured outputs, memory architectures, AI observability, healthcare data standards, human-in-the-loop systems
Technologies
LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, Python, Docker
Responsibilities
Design multi-agent AI systems using LLMs and orchestration frameworks; Build autonomous agent workflows for reasoning and task execution; Develop production-grade AI applications; Integrate LLMs with APIs and enterprise systems; Implement RAG pipelines and vector databases; Evaluate and improve agent performance; Collaborate with product and clinical teams to translate use cases into AI solutions
Seniority
Senior, hands-on IC
