Senior AI Product Engineer
About The Position
Ro is building a team focused on shipping LLM-powered products across the patient experience, clinical operations, and internal tooling. We're hiring a Senior AI Product Engineer to join a new team we're building from the ground up. This is a hybrid Product + Engineering role for someone who wants to own the full lifecycle of AI products: from identifying high-value problems to building, shipping, and measuring solutions. You'll embed with clinical operations, pharmacy, and care teams to understand how work gets done, identify the highest-leverage opportunities for AI, and build the systems yourself. You'll write prompts, orchestration code, evaluations, and Python services, partnering closely with engineers while remaining hands-on in implementation. You'll own a portfolio of opportunities and help decide what to build, what to buy, and what to tackle next.
Requirements
- 5+ years of experience spanning product management, software engineering, applied AI, technical program management, or a combination of these disciplines.
- You can write Python and call an API; you don't need to architect a backend, but you're not bottlenecked waiting for someone who can.
- You've shipped at least one AI powered feature you can talk about in detail, including the metrics that justified it.
- You have strong product judgment and are comfortable operating with ambiguity, identifying opportunities through direct observation rather than waiting for detailed requirements.
- You’re excited about using AI tools to build software
- You enjoy working directly with users and operators, rapidly testing ideas, and iterating based on real-world feedback.
Nice To Haves
- Clinical, healthcare, or other regulated-industry experience.
Responsibilities
- Embed directly with operators and clinical teams to dissect manual workflows and rebuild them with LLMs and agentic patterns.
- Drive build-vs-buy strategy: when to build custom orchestration, when to integrate a third-party tool.
- Write prompts, evaluation suites, and Python code that connect AI systems to Ro's products and internal operations.
- Create golden datasets, define evaluation rubrics, and run experiments that continuously improve quality and reliability.
- Define success metrics, measure product impact, and use data to prioritize future investments.
- Shape prioritization, sequencing, and technical direction across the AI pod.
Benefits
- Competitive equity and benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
