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Staff Software Engineer

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Onsite

Staff Software Engineer

Midi Health

Staff Software Engineer

Skills

PythonAINLP / Natural Language Processing

1 month ago

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Important information


Salary:

$210,000 – $250,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

5 October 2026

What they need


Who you are

  • 10+ years of software engineering experience, with deep recent time leading production AI/LLM systems
  • Seasoned hands-on coder; still writes production Python regularly
  • Seasoned system designer for AI systems at scale — retrieval, agents, evaluation, latency, and cost
  • Authority in AI engineering: teams and leaders defer to your judgment, and you can defend it rigorously
  • Leader at the AI frontier: you set how the team uses AI tooling and how we build AI products
  • Seasoned mentor; you've grown engineers into strong AI builders
  • Strong communicator with product, clinical, and executive stakeholders; thoughtful about risk and safety tradeoffs
  • Low-ego, curious, humble
  • Healthcare, clinical NLP, or regulated AI deployment experience
  • Track record of shipping agentic or large-scale RAG systems in production

What the job involves

  • You'll set the direction for how Midi builds with AI — across clinical workflows, patient experience, and operational intelligence. You'll own the architecture of our AI systems, the evaluation practices that keep them safe, and the standards that let every engineer at Midi ship AI features confidently. This is the role for someone who wants to define what AI engineering looks like in a modern healthcare company
  • Lead technical strategy for AI/LLM systems across Midi's product surfaces
  • Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production
  • Set the standards for AI safety, evaluation, observability, and responsible rollout in a healthcare context
  • Partner with clinical, product, and executive leadership to shape the AI roadmap
  • Mentor senior and mid-level engineers into strong AI engineers; raise the AI literacy of the whole org
  • Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team

The application process

  • Recruiter Screen (30 min)
  • Hiring Manager Screen (45 min)
  • Live Technical Assessment (3 sessions: 150 min)
  • On-Site Interview and Lunch (4 sessions: 150 min)

Benefits

  • Medical, Dental, and Vision
  • 401K
  • Flexible Paid Time Off
  • Parental Leave
  • New Hire Equipment Stipend
  • Monthly Remote Work Stipend

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