Staff Software Engineer, AI Engineer

Responsibilities

• 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

Requirements

• 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.
• Midi 2024 in Review
• Women Leaders Invest in Midi
• Patient Testimonials
• 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.
• #li-ps1
• 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 find our CCPA Privacy Notice for California Candidates here .

Benefits

Additional Information

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.

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