Staff AI Engineer

RVO Health

9d•$170,000 - $220,000•Hybrid

About The Position

RVO Health is seeking a Staff AI Engineer to develop AI-powered tools for internal teams. This is a hands-on role focused on building production-grade AI Assistants that automate workflows and integrate with enterprise systems. The ideal candidate will have expertise across the AI development stack, from prompt engineering and fine-tuning to API development and third-party integrations. This role requires translating business needs into technical architectures and ensuring reliable, maintainable, and secure systems. The position reports to the Director of AI Ops & Platform Engineering and collaborates with AI Ops, security, IT, and platform engineering teams. It offers an influential opportunity to shape the adoption of AI within RVO Health.

Requirements

Bachelor's degree in computer science, a related field, or equivalent professional experience
4+ years of software engineering experience, with at least 1 year focused on building with AI and/or creating LLM-powered applications
Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) and the practical realities of prompt engineering at scale
Experience leveraging Claude Code for agentic coding
Experience integrating with third-party APIs and enterprise tools (Jira, Slack, or similar platforms is a plus)
Understanding of software engineering fundamentals: version control, testing, CI/CD, and code review
Strong communication skills and the ability to work with non-technical stakeholders to understand workflows and translate them into technical requirements

Responsibilities

Design, build, and iterate on AI Assistants integrated with enterprise tools including Jira, Slack, and internal data sources
Develop and maintain prompt engineering frameworks, evaluation pipelines, and feedback loops to continuously improve assistant quality and reliability
Build and maintain APIs, backend services, and integrations that connect AI capabilities to the tools teams already use
Collaborate with AI Ops, security, and platform engineering teams to ensure systems are production-grade, secure, and observable
Contribute to a repeatable framework for building new AI Assistants as the program expands
Evaluate new models, tools, and libraries and make informed recommendations on when and how to adopt them
Identify and mitigate risks related to AI outputs, data handling, and responsible use
Contribute to technical documentation, runbooks, and onboarding materials that help the team scale what gets built