Easy Apply
Easy Apply
Build and ship LLM-powered features across patient and clinical workflows. Partner with clinical operators, prototype AI workflows (prompts, agents, RAG), write Python/SQL to connect AI systems, define success metrics, run evaluations, and iterate based on user feedback.
Join Tech @ Ro to build the future of healthcare, from the ground up!
At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients.
We’re building a new system. One where the patient is in control. One designed from scratch for the digital age.
At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients.
…and we’re just getting started.
As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to:
- Solve complex, high-concurrency problems across a full-stack platform
- Build and ship quickly with tight feedback loops and real-world impact
- Own systems end-to-end, from architecture to production performance
- Work alongside experienced operators, technical leaders, and clinicians
- Help define how modern healthcare should be delivered
We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it.
If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us.
Ro is building a team focused on shipping LLM-powered products across the patient experience, clinical operations, and internal tooling.
We're hiring an AI Product Engineer to join a new team we're building from the ground up. This role sits at the intersection of product, engineering, and operations. You'll work directly with clinical operators and internal teams to understand how work gets done, identify opportunities for AI, and build solutions that make those workflows faster, safer, and more scalable.
You'll spend time with the people using what you build, rapidly prototype AI-powered workflows, measure their impact, and iterate based on real-world feedback—all while learning from experienced AI engineers and product leaders.
What You'll Do
- Partner with EHR operators, Patient Advocates, and clinical teams to understand operational workflows and identify opportunities for AI.
- Build and iterate on LLM-powered features using prompts, agent workflows, retrieval (RAG), and orchestration frameworks.
- Write Python code that connects AI systems to Ro's products and internal tools.
- Prototype quickly, test ideas with users, gather feedback, and iterate based on real-world usage.
- Define success metrics for the features you build and use data to identify opportunities for improvement.
- Contribute to evaluation datasets, testing workflows, and experiments that improve AI quality and reliability.
- Help evaluate third-party AI tools and contribute to build-versus-buy decisions
Who You Are
- 1–4 years of relevant experience across software engineering, product, data, operations, or applied AI.
- Comfortable writing Python and SQL to prototype, analyze, and ship AI-powered applications.
- You've built at least one LLM-powered application or feature—through work, internships, research, school, hackathons, or side projects—that you're excited to walk us through.
- You have strong product instincts and enjoy working directly with users to understand problems before proposing solutions.
- You thrive in ambiguous environments, learn quickly, and are excited to experiment with rapidly evolving AI technologies.
- You're excited about using AI-assisted development tools
- Bonus: experience in healthcare, fintech, or another regulated/operations-heavy environment
A note on reporting structure
This is a new function at Ro, and we're being deliberate about not over-defining it. Your manager and where you sit on the org chart will depend on the specific shape of the team we end up with. We'd rather find the right people and figure out the lines around them than pre-draw boxes and miss great candidates. If that ambiguity is a deal-breaker, this isn't the right role; if it sounds like an opportunity, we want to talk.
-
The target base salary for this position ranges from $149,600 - $184,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary.
Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide.
At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law.
Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at [email protected].
See our California Privacy Policy here.
Similar Jobs at Ro (Ro.co)
.png)
Healthtech • Pharmaceutical • Telehealth
Embed with clinical and operations teams to identify high-value AI opportunities; build LLM-powered features end-to-end including prompts, orchestration, Python services, evaluation suites, golden datasets, and metrics-driven experiments to measure product impact and prioritize work.
Top Skills:
APIsEvaluation SuitesLlmsModel OrchestrationPrompt EngineeringPython
Healthtech • Pharmaceutical • Telehealth
Own evaluation, measurement, and optimization of production LLM-powered features. Design reproducible evaluation frameworks, run experiments and analyses to identify failure modes and regressions, build metrics and dashboards, partner with engineering to productionize improvements, and mentor teammates on experimental design and measurement best practices.
Top Skills:
BraintrustCausal InferenceExperimentation PlatformsLangsmithLlmsOpenai EvalsPythonSQL
Healthtech • Pharmaceutical • Telehealth
Design and run evaluations for LLM-powered features: build datasets and rubrics, analyze production logs for failures, run experiments, track product/operational metrics, and partner with engineers to productionize improvements and monitoring dashboards.
Top Skills:
A/B Testing FrameworksDashboardsEvaluation ToolingLlmsModel MonitoringPromptingPythonRetrievalSQL
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
