Senior Software Engineer, AI Engineer

Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday

About Midi Health

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 care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care.

How We Work

• Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely.
• AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software.
• Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth.
• Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands.

The Difference You Will Make

AI is reshaping how clinical care is delivered, and Midi is building the products at the frontier of that shift. You'll build AI-powered features and systems that genuinely change clinician and patient experience — from clinical workflow automation to patient-facing assistants to back-office intelligence — grounded in the realities of healthcare-grade safety and evaluation.

What You Will Do

• Design, build, and ship LLM-powered features end-to-end: prompt design, retrieval, tool use, agents, evaluation, and production operations
• Build the evaluation harnesses and feedback loops that let us ship AI features responsibly
• Integrate AI capabilities deeply into patient, clinician, and operational workflows
• Partner with clinical, product, and safety stakeholders to define what "good" looks like
• Contribute to our internal AI-for-engineering practices and tooling
• Stay close to the research and ecosystem; bring the best of it back to the team

About You

• 6+ years of software engineering experience, with meaningful recent time building production LLM / ML features
• Strong hands-on coding skills in Python; comfortable across the full stack when the feature demands it
• Seasoned at system design for AI systems: retrieval, orchestration, caching, evaluation, cost and latency tradeoffs
• Deep, hands-on command of modern AI coding tools — you're a strong follower of the frontier and apply new techniques quickly
• Good mentorship instincts; generous with what you learn
• Rigorous about evaluation and safety; allergic to vibes-only launches
• Strong communicator; comfortable explaining model behavior to non-technical stakeholders
• Low-ego, curious, humble

Nice to Have

• Experience with healthcare, clinical NLP, or regulated AI deployments
• Experience building agentic systems or production RAG at scale

Interview 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)

While you are waiting for us to review your resume, here is some fun content to check out. 

Midi 2024 in Review

Women Leaders Invest in Midi

Patient Testimonials

At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $170,000-$210,000 per year, based on factors such as experience and skills. In addition