Senior AI Engineer

Roman Health Pharmacy LLC; New York (NY); On-site; USD 182,300 - 220,000; Full time

Job summary

Roman Health Pharmacy LLC is seeking a Senior AI Engineer to join their team dedicated to building LLM-powered products. In this role, you'll develop AI features, work closely with clinical operators, and ensure AI systems meet operational requirements.

Applicants should have over 5 years of production software experience and strong Python skills. The estimated salary for this position ranges from $182,300 to $220,000, plus benefits.

Qualifications

• 5+ years of experience in production software development.
• 1-2 years building and deploying LLM-powered applications.
• Strong Python skills with experience in backend services.

Responsibilities

• Design and build production LLM powered features.
• Develop evaluation infrastructure for AI systems.
• Prototype quickly and iterate based on real-world usage.

Skills

Production software development

Python programming

AI application deployment

Technical leadership

Tools

LangChain

LangGraph

Vector databases

Job description

Ro is building a team focused on shipping LLM-powered products across the patient experience, clinical operations, and internal tooling.

The Role

We're hiring a Senior AI Engineer to join a new team we're building from the ground up alongside a Senior AI Lead and an Engineering Manager. You'll own AI features from prototype through production and spend as much time improving workflows with clinical operators as writing code. Most of your work will involve building orchestration layers, prompts, evaluations, retrieval systems, and tooling that make LLMs reliable enough for real-world healthcare operations.

What You'll Do

• Design, build, and ship production LLM powered features end-to-end.
• Build the AI application layer, including prompt orchestration, tool calling, retrieval (RAG), embeddings, agent workflows, and structured outputs.
• Develop evaluation infrastructure, including regression suites, LLM-as-a-judge evaluations, synthetic datasets, human review workflows, and quality metrics that catch regressions before users do.
• Design observability systems that measure accuracy, latency, cost, hallucination rates, and model behavior in production.
• Build safety and reliability guardrails that ensure AI systems meet quality, compliance, and operational requirements.
• Evaluate and integrate third-party tools, including orchestration frameworks, evaluation platforms, vector databases, and model providers; and make pragmatic build-versus-buy decisions.
• Raise engineering standards across the team through technical leadership, code reviews, mentorship, and thoughtful system design.
• Sit with EHR operators, Patient Advocates, and clinical teams to understand the workflows you're automating.
• Prototype quickly, ship early, measure outcomes, and iterate based on real-world usage.

What You'll Bring to the Team

• 5+ years building production software, with at least 1–2 years building and deploying LLM-powered applications in production (or equivalent depth through substantial side projects or open-source work).
• Strong Python engineer with experience building backend services and integrating modern AI APIs and frameworks.
• Comfortable using AI-assisted development tools throughout the software development lifecycle.
• You've shipped AI features that served real users, and you can clearly articulate how you measured quality, reliability, latency, cost, and business impact.
• You have strong product instincts and thrive in ambiguous environments, translating operational problems into technical solutions without relying on detailed specifications.
• Bonus: Experience with orchestration frameworks (LangChain, LangGraph, AgentCore), RAG architectures, vector databases, prompt/version management, and evaluation or observability platforms (e.g., LangSmith, Braintrust, Arize Phoenix).

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 $182,300 to $220,000, 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.

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 [e-mail].

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