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 navigating perimenopause, menopause, and other hormonal transitions. The company combines expert clinicians, evidence-based protocols, and modern technology to deliver historically underserved care. You will join a fast-growing, mission-driven team building the infrastructure and products that define this new category of care.
The Role
You will design, build, and ship LLM-powered features end-to-end—from prompt design and retrieval to tool use, agents, evaluation, and production operations. Your work will span clinical workflow automation, patient-facing assistants, and back-office intelligence, all grounded in healthcare-grade safety and evaluation standards.
Key Responsibilities
- Design and build LLM-powered features end-to-end, including prompt design, retrieval, tool use, agents, evaluation, and production operations
- Build evaluation harnesses and feedback loops to enable responsible AI feature shipping
- Integrate AI capabilities deeply into patient, clinician, and operational workflows
- Partner with clinical, product, and safety stakeholders to define success criteria
- Contribute to internal AI-for-engineering practices and tooling
- Stay close to AI research and ecosystem developments; bring best practices back to the team
Culture & Work Style
The team operates hybrid by design: two days per week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. The company is AI-native, expecting every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, etc.) and to actively push the frontier of software development. The culture emphasizes low-ego, high-curiosity collaboration, technical rigor over politics, and outcome-oriented execution that balances speed with the durability 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 needed
- 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 evidence-based 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
