Staff AI Engineer

### Who you are
- The ideal candidate is comfortable working across the full AI development stack: from designing AI workflow automation and fine-tuning prompts to building APIs and integrating third-party platforms
- You thrive in a fast-moving environment, can translate a business workflow into a technical architecture, and care about delivering work that is reliable, maintainable, and secure
- 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

### What the job involves
- RVO Health is looking for a Staff AI Engineer to help build the next generation of AI-powered tools to accelerate our internal teams
- This is a hands-on, high-ownership role at the center of a growing AI Ops function within Corporate Technology
- You will design and build AI Assistants that automate real workflows, integrate with enterprise tools, and are grounded in sound software engineering practices
- You will not be building demos
- You will be building production-grade systems that people at RVO Health will use every day
- This role reports into the Director of AI Ops & Platform Engineering and works closely with the AI Ops team, security, IT, and platform engineering
- It is an early and influential seat in a program that will accelerate the adoption and use of AI across RVO Health
- 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

### Benefits
- Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program