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Ro

AI Engineer

Ro

AI Engineer building LLM-powered products to enhance patient experience and clinical operations at Ro. Collaborating on innovative health tech in a fast-paced, performance-driven team.

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

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Build and ship production LLM-powered features across patient-facing products, clinical workflows, and internal tools.
  • Build the AI application layer, including prompt orchestration, tool calling, retrieval (RAG), agent workflows, and structured outputs.
  • Develop and iterate on evaluation suites, including synthetic test datasets, LLM-as-a-judge evaluations, regression tests, and human review workflows to improve quality over time.
  • Write the code that connects LLMs to Ro's internal systems, APIs, and operational workflows.
  • Partner closely with EHR operators, Patient Advocates, and clinical teams to understand the workflows you're automating and identify opportunities for AI.
  • Prototype quickly, ship early, measure outcomes, and iterate based on real-world usage.
  • Contribute to AI infrastructure, tooling, and engineering best practices alongside senior engineers.

Requirements

What you’ll need
  • 1–4 years building software, with hands-on experience building LLM-powered applications through work, internships, research, school, hackathons, or side projects.
  • Strong Python engineer with experience building backend services or developer tools.
  • Comfortable using AI-assisted development tools throughout the software development lifecycle (or excited to learn).
  • You've built at least one LLM-powered application or feature that you're excited to walk us through, including the technical decisions you made and what you learned.
  • You enjoy learning quickly, experimenting with new technologies, and working in an environment where best practices are still evolving.
  • You have strong problem-solving skills and are comfortable working through ambiguity with support from experienced teammates.
  • Bonus: Experience with orchestration frameworks (e.g. LangChain, LangGraph, AgentCore), RAG architectures, vector databases, prompt/version management, or evaluation and observability platforms (e.g. LangSmith, Braintrust, Arize Phoenix).

Benefits

Comp & perks
  • Competitive equity and benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonLLM-powered applicationsbackend servicesdeveloper toolsorchestration frameworksRAG architecturesvector databasesprompt managementevaluation platformsobservability platforms
Soft Skills
problem-solvingadaptabilityquick learningexperimentationcollaborationcommunicationworking through ambiguityiterative developmentmeasuring outcomesunderstanding workflows