Staff Software Engineer, AI Engineer
At a glance
Senior AI Engineering role at Midi Health. San Francisco · $200,000–$250,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Set the technical direction for AI and language-model systems across the product
- Design production retrieval, agent, orchestration and evaluation systems, with reliability in mind
- Establish how teams assess safety, monitor AI systems and release them responsibly in healthcare
- Work with clinical, product and executive leaders to shape the AI roadmap
- Grow engineers’ AI skills while assessing new models, methods and tools for the team
What you bring
- At least ten years in software engineering, including substantial recent leadership of production AI or language-model systems
- You still build production software in Python and can lead system design for retrieval, agents, evaluation, latency and cost
- You can defend AI engineering decisions, guide how teams use AI tools, and communicate risk tradeoffs to senior stakeholders
- You have developed engineers into capable AI practitioners
Who this fits
This suits a senior, hands-on technical leader who wants to set AI engineering practices and mentor other engineers. You’ll work in person Tuesday and Thursday in either the Palo Alto or San Francisco office. Applicants must be authorized to work in the United States without present or future visa sponsorship.
From the employer
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
You'll set the direction for how Midi builds with AI — across clinical workflows, patient experience, and operational intelligence. You'll own the architecture of our AI systems, the evaluation practices that keep them safe, and the standards that let every engineer at Midi ship AI features confidently. This is the role for someone who wants to define what AI engineering looks like in a modern healthcare company.
What You Will Do
- Lead technical strategy for AI/LLM systems across Midi's product surfaces
- Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production
- Set the standards for AI safety, evaluation, observability, and responsible rollout in a healthcare context
- Partner with clinical, product, and executive leadership to shape the AI roadmap
- Mentor senior and mid-level engineers into strong AI engineers; raise the AI literacy of the whole org
- Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team
About You
- 10+ years of software engineering experience, with deep recent time leading production AI/LLM systems
- Seasoned hands-on coder; still writes production Python regularly
- Seasoned system designer for AI systems at scale — retrieval, agents, evaluation, latency, and cost
- Authority in AI engineering: teams and leaders defer to your judgment, and you can defend it rigorously
- Leader at the AI frontier: you set how the team uses AI tooling and how we build AI products
- Seasoned mentor; you've grown engineers into strong AI builders
- Strong communicator with product, clinical, and executive stakeholders; thoughtful about risk and safety tradeoffs
- Low-ego, curious, humble
Nice to Have
- Healthcare, clinical NLP, or regulated AI deployment experience
- Track record of shipping agentic or large-scale RAG systems in production
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.
At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $200,000-$250,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company,
We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.
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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.
Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com.
Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.
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