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Ro

AI Product Engineer

Ro

AI Product Engineer developing LLM-powered solutions for healthcare at Ro. Collaborating with clinical teams and applying AI to improve operational workflows.

Posted 6/27/2026full-timeNew York City • New York • 🇺🇸 United StatesJunior💰 $149,600 - $184,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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.
  • 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

Requirements

What you’ll need
  • 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.
  • 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

Benefits

Comp & perks
  • health insurance
  • retirement plans
  • paid time off
  • flexible work arrangements
  • professional development
  • bonuses
  • stock options
  • equipment allowances
  • wellness programs

ATS Keywords

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Hard Skills & Tools
PythonSQLAILLMdata analysisprototypingfeature iterationsuccess metricsevaluation datasetstesting workflows
Soft Skills
product instinctsuser engagementproblem-solvingadaptabilityquick learningexperimentationcollaborationfeedback gatheringiterative developmentcommunication