Senior Software Engineer, AI Engineer at Midi

**Who this is for** This position is for a senior software engineer who is passionate about applying LLMs and machine learning to improve clinical workflows and

Work type: remote

Location: Hybrid - SF Bay Area

Salary: $170,000 – $210,000/yr

Type: Full-time

Summary

**Who this is for** This position is for a senior software engineer who is passionate about applying LLMs and machine learning to improve clinical workflows and patient experiences in a regulated healthcare environment. **Key highlights** You will lead the design and implementation of AI-powered features, focusing on end-to-end production operations, evaluation frameworks, and safety-first deployments. **You might be a good fit if you...** - Have 6+ years of engineering experience with a strong track record of shipping production LLM/ML features. - Are proficient in Python and comfortable with system design for retrieval, orchestration, and caching. - Have a rigorous approach to AI safety, evaluation, and latency management. - Want to integrate cutting-edge AI capabilities into critical clinical operations.

Job Description

#### 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

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.

### What You Will Do

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

### About You

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 Have

Experience with healthcare, clinical NLP, or regulated AI deployments

Experience building agentic systems or production RAG at scale

### 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](https://www.youtube.com/watch?v=ctD2SSvcUm8)

[Women Leaders Invest in Midi](https://www.prnewswire.com/news-releases/women-leaders-across-tech-entertainment-sports-media-and-fashion-come-together-to-invest-in-midi-health-302253241.html)

[Patient Testimonials](https://www.youtube.com/watch?v=1px7i6MVjNg)

At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $170,000-$210,000 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 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.

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