SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 170,000 - 210,000 / annual
Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. The company combines expert clinicians, evidence-based protocols, and a modern technology platform to deliver care historically underserved by the healthcare system.
In this role, you will design, build, and ship LLM-powered features end-to-end, including prompt design, retrieval, tool use, agents, evaluation, and production operations. You'll build evaluation harnesses and feedback loops that enable responsible AI feature deployment, integrate AI capabilities deeply into patient, clinician, and operational workflows, and partner with clinical, product, and safety stakeholders to define success criteria. You'll contribute to internal AI-for-engineering practices and tooling, and stay close to research and ecosystem developments to bring best practices back to the team.
Midi operates on a hybrid model with two days per week in-office (Tuesday and Thursday) in either Palo Alto or San Francisco. The engineering culture is AI-native, expecting all engineers to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, etc.) and to actively push the frontier of software development. The team values low-ego, high-curiosity collaboration, technical rigor, and outcome-oriented execution balanced with the durability that healthcare demands.
REQUIREMENTS:
- 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 required
- Seasoned at system design for AI systems: retrieval, orchestration, caching, evaluation, cost and latency tradeoffs
- Deep, hands-on command of modern AI coding tools; strong follower of the frontier who applies new techniques quickly
- Good mentorship instincts; generous with knowledge sharing
- Rigorous about evaluation and safety; committed to responsible launches
- Strong communicator; comfortable explaining model behavior to non-technical stakeholders
- Low-ego, curious, humble mindset
NICE TO HAVE:
- Experience with healthcare, clinical NLP, or regulated AI deployments
- Experience building agentic systems or production RAG at scale
