Staff Software Engineer, AI Engineer

Midi Health; San Francisco (CA); On-site; USD 210,000 - 260,000; Full time

Job summary

Midi Health is seeking an experienced AI Engineering Lead to set the technical direction for AI across its product offerings. The ideal candidate will have over 10 years of software engineering experience, particularly in leading AI/LLM systems. Responsibilities include architecting reliable AI systems, mentoring engineers, and establishing standards for AI safety. The role is hybrid, requiring two days in the office and offers a competitive salary range of $210,000 - $260,000 per year, along with benefits and equity.

Qualifications

• 10+ years of software engineering experience with a focus on AI/LLM systems.
• Hands-on experience in production Python coding.
• Authority in AI engineering with rigorous defense of judgment.
• Experience mentoring engineers into strong AI builders.

Responsibilities

• Lead technical strategy for AI/LLM systems across Midi’s products.
• Architect reliable retrieval and orchestration systems for production.
• Set standards for AI safety and responsible rollout in healthcare.
• Mentor engineers and raise AI literacy across the organization.

Skills

Software engineering

AI/LLM systems

Python

System design

Mentorship

Communication

Job description

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

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

• Hiring Manager Screen (45 min)
• Live Technical Assessment (3 sessions: 150 min)
• On‑Site Interview and Lunch (4 sessions: 150 min)

At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $210,000 - $260,000 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.

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.

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.