Staff Software Engineer / AI Engineer

3w3 weeks ago

Midi Health

US · Full-time · $210,000 – $260,000

About this role

Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver historically underserved care. 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 AI systems, evaluation practices that keep them safe, and standards letting every engineer ship AI features confidently. Lead technical strategy for AI/LLM systems across product surfaces. Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production.

Hybrid by design with two days a week in-office Tuesday and Thursday in Palo Alto or San Francisco. AI-native engineering expects fluency with modern AI coding tools like Claude Code, Cursor, Copilot. Low-ego, high-curiosity teams approach disagreement with humility and technical rigor.

Mentor senior and mid-level engineers into strong AI engineers and raise AI literacy across the org. Partner with clinical, product, and executive leadership to shape the AI roadmap. Lead the frontier by evaluating new models, techniques, and tools to bring into the team.

Requirements

10+ years of software engineering experience, with deep recent time leading production AI/LLM systems
Seasoned hands-on coder who still writes production Python regularly
Seasoned system designer for AI systems at scale including retrieval, agents, evaluation, latency, and cost
Authority in AI engineering where teams and leaders defer to your judgment and you defend it rigorously
Leader at the AI frontier who sets how the team uses AI tooling and builds AI products
Seasoned mentor who has grown engineers into strong AI builders
Strong communicator with product, clinical, and executive stakeholders, thoughtful about risk and safety tradeoffs
Low-ego, curious, humble

Responsibilities

Lead technical strategy for AI/LLM systems across product surfaces
Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production
Set standards for AI safety, evaluation, observability, and responsible rollout in healthcare
Partner with clinical, product, and executive leadership to shape the AI roadmap
Mentor senior and mid-level engineers into strong AI engineers and raise AI literacy of the org
Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team

Benefits

Hybrid by design: two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco
AI-native engineering: fluent with modern AI coding tools like Claude Code, Cursor, Copilot
Low-ego, high-curiosity culture investing in each other's growth
Outcome-oriented: move fast, own work end-to-end, balance speed with healthcare durability