Senior Software Engineer, AI Engineer
About this role
Midi Health is constructing a virtual care clinic and technology platform dedicated to supporting women through perimenopause, menopause, and hormonal transitions. Engineering teams here focus on developing AI-powered features and systems that transform clinical care delivery, ranging from workflow automation to patient-facing assistants and back-office intelligence.
Incoming engineers will design, build, and deploy large language model capabilities end-to-end while ensuring healthcare-grade safety and evaluation standards. The group values low-ego collaboration, high technical curiosity, and outcome-oriented execution in a hybrid work environment.
Candidates who succeed in this position bring substantial production software experience alongside a strong command of modern AI tooling and python development. A pragmatic approach to system design, cost tradeoffs, and cross-functional partnership with clinical stakeholders defines daily work on the team.
What you will do
- Design and ship end-to-end LLM-powered features covering prompt design, retrieval, tool use, agents, evaluation, and production operations.
- Develop evaluation harnesses and feedback loops to support responsible deployment of artificial intelligence capabilities.
- Integrate AI deeply into patient, clinician, and operational workflows.
- Collaborate with clinical, product, and safety stakeholders to define quality standards for deliverables.
- Contribute to internal AI-for-engineering practices and tooling while tracking relevant industry research.
What you need
- Bring six or more years of software engineering experience with meaningful recent time dedicated to production LLM or machine learning features.
- Demonstrate strong hands-on coding skills in Python and full-stack comfort when features require it.
- Possess solid system design abilities for AI architectures involving retrieval, orchestration, caching, evaluation, cost, and latency management.
- Show deep familiarity with modern AI coding tools and an ability to apply emerging techniques quickly.
- Communicate clearly with non-technical stakeholders regarding model behavior and maintain rigorous standards for safety and evaluation.
Nice to have
- Experience with healthcare, clinical NLP, or regulated AI deployments
- Experience building agentic systems or production RAG at scale
Benefits
- Equity in the company
- Wide range of benefits
Skills and tech stack
Questions candidates ask
What is the remote work policy?
The position is hybrid by design with two days a week in-office on Tuesday and Thursday in either the Palo Alto or San Francisco office.
What is the salary range for the role?
The estimated salary range for this role is $170,000 to $210,000 per year, determined by factors such as experience and skills.
What does the interview process look like?
The hiring pipeline includes a 30-minute recruiter screen, a 45-minute hiring manager screen, a live technical assessment consisting of three sessions totaling 150 minutes, and an on-site interview and lunch spanning four sessions over 150 minutes.
Does the company provide visa sponsorship?
At this time, Midi is unable to provide visa sponsorship. All candidates must be authorized to work in the United States without current or future sponsorship needs.