Senior Software Engineer, AI Engineer
About The Position
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. 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.
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 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 Haves
- Experience with healthcare, clinical NLP, or regulated AI deployments
- Experience building agentic systems or production RAG at scale
Responsibilities
- 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
Benefits
- Equity in the company
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
101-250 employees
