Staff AI Machine Learning Engineer
Medeloop- Location
- Location not stated
- Workplace
- —
- Employment
- Full Time
- Salary
- —
Posted 4mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Lead the design and architecture of advanced agentic AI systems
- Build and own production-grade agent infrastructure
- Develop rigorous evaluation and safety frameworks
- Drive LLM and ML model development
- Shape Medeloop's agentic AI strategy and roadmap
- Stay at the cutting edge of agentic AI
Requirements
- 7+ years of hands-on experience as a Machine Learning Engineer
- Proven track record building and shipping production agentic AI systems in industry
- Experience working on analytic engines or advanced analytics platforms
- Strong theoretical foundation in ML/AI with emphasis on NLP/LLMs, reinforcement learning, planning/reasoning algorithms
- Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix)
- Experience designing fully automated evaluation and testing pipelines for autonomous agents
- A builder/experimenter mindset
- Passion for unsolved challenges in healthcare AI
Preferred
- Strong record in top AI/ML conferences/journals
- Experience with healthcare data (EHRs, claims) and regulatory considerations (HIPAA, transparency, reproducibility)
- Multi-cloud experience (AWS, Azure, GCP)
Skills
- LangChain
- LangGraph
- Model Context Protocol (MCP)
- Agent-to-Agent (A2A)
- Hugging Face
- PyTorch
- vector databases
- semantic search
- prompt engineering
- LangSmith
- Phoenix
- AWS
- Azure
- GCP
- EHRs
- HIPAA
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