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Staff AI Machine Learning Engineer

Medeloop
Location
Location not stated
Workplace
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Employment
Full Time
Salary
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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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