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 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.
Requirements
- 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
Nice To Haves
- experience in healthcare, fintech, or another regulated/operations-heavy environment
Responsibilities
- 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
Benefits
- competitive equity and benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
