AI Engineer

Reposted Yesterday
San Francisco, CA, USA
In-Office
160K-220K Annually
Mid level
Software
The Role
As the first AI Engineer, you'll build an autonomous SDLC pipeline, integrate AI into products, and create internal agents to optimize operations, focusing on impactful workflows.
Summary Generated by Built In
AI Engineer

Metriport is an open-source data intelligence platform that helps healthcare organizations access and exchange patient data in real-time. We integrate with all major US healthcare IT systems and tap into comprehensive medical data for 300+ million individuals.

We've found product-market fit with multi-million ARR, 100+ customers (including Amazon One Medical, Color, and Strive Health), backing from top VCs, and years of runway. We're ready to scale. We're a tight-knit, high-performing team of mostly former founders (including two YC alumni). We're engineering-heavy, operate with minimal bureaucracy and high autonomy, and hire based on competence, not prestige. We push hard—founders work six days a week from our SF office—but give everyone freedom to craft their schedule. We measure output and we're committed to sustainable intensity.

About the role

This is the first AI Engineer role at Metriport, and one of the highest-leverage hires we'll make this year. We're looking for an engineer who treats AI agents as leverage — someone who will literally change how we ship products and how we operate.

We are building a multi billion dollar company, and you would be instrumental in that. This is a huge opportunity for the right person, someone with owner mentality/high ownership, laser focused, and high energy and determination.

If we hire well, every person at Metriport effectively gets a teammate that never sleeps, we leverage new opportunities, and we discover new ways to deliver value.

What you'll do
  • Build the autonomous SDLC pipeline that takes tickets through to PRs — Linear as the state machine, Claude Code (or whatever's best at the time) as the execution engine, sandboxed compute, code review, CI feedback loops, the whole loop.

  • Collaborate with the rest of the engineering team to integrate AI to our products in ways we haven’t even conceived yet.

  • Build internal agents and copilots that take work off the team's plate: monitoring the platform and preparing fixes, triaging customer issues, drafting responses, generating compliance evidence for compliance audits, summarizing PR activity, on-call assistance — anything where a human is currently doing rote pattern-matching.

  • Design the eval, observability, and guardrail layer for everything you ship. AI systems that touch production code, customer data, or money need to be measurable, debuggable, and safe to roll back.

  • Work directly with founders and team leads to figure out which workflows are highest-leverage to work on next, and ruthlessly prioritize. You won't get a backlog handed to you — you'll go find the work.

  • Keep the platform you build serving a growing company.

About you
  • You're entrepreneurial-minded, with an olympian-level work ethic. You measure your output by what you actually unblock, not what you produce.

  • You've shipped real, production-grade systems with LLM agents at the core — not demos, not prototypes. You know what fails in production, and you've got opinions about evals, prompt versioning, tool use, retries, and cost control.

  • You're a strong full-stack engineer first, AI engineer second. You can stand up a service, write the IaC, instrument it, and own it end-to-end. TypeScript / Node.js, Python, AWS, and SQL aren't going to scare you.

  • You think in workflows and systems. You can sit in on a customer support call or a PR review and immediately spot the three steps a model could be doing.

  • You have a strong sense of ownership. When someone scopes a project at 3 weeks, you ask yourself "why can't it be done in 3 days?".

  • You care more about leverage and impact than about which model or framework is en vogue this month. You'll pick the boring tool when boring is right.

  • Bonus: experience with healthcare data, compliance environments (SOC 2, HIPAA, HITRUST), or shipping AI-enabled workflows at an early-stage startup.

  • You’re located in San Francisco or the Bay Area (or willing to relocate).

Benefits
  • Competitive equity + compensation package 🚀

  • Full family Platinum health insurance, dental, and vision coverage 🦷

  • 401(k) retirement plan + matching 💰

  • Flexible work from home or in-office 🏢

  • Healthy lunches are complimentary when working in-office (and breakfast + dinners as needed) 🍏

  • Quarterly company off-sites with the team ⛷️

  • MacBook provided by us 💻

  • Unlimited PTO (we work hard, but trust you to take time you need to be at your best) 🧘‍♂️

  • Be part of a small, senior team where you'll have unusually direct impact, no bureaucracy, and the autonomy to ship.

Our tech

On the frontend, we use React - on the backend, we rely on Node.js and TypeScript for writing core business logic. We deploy a wide range of AWS cloud services (ie ECS, Fargate, Lambda, etc), and manage our infrastructure as code with AWS CDK. Data lives in PostgreSQL, DynamoDB, S3, Snowflake, FHIR server, and more. We use the best tools in the market to run our company.

Metriport provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Skills Required

  • Experience shipping production-grade systems with LLM agents
  • Strong full-stack engineering background
  • Proficiency in TypeScript, Node.js, Python, AWS, and SQL
  • Entrepreneurial mindset and high work ethic
  • Experience with healthcare data or compliance environments (SOC 2, HIPAA)
Am I A Good Fit?
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The Company
7 Employees
Year Founded: 2022

What We Do

https://metriport.com

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