Staff Software Engineer, Agentic AI

RVO Health is a new healthcare platform focused on building relationships with people throughout their health and wellness journey. They are seeking a Staff Software Engineer to design and build AI Assistants that automate workflows and integrate with enterprise tools, ensuring production-grade systems that enhance operational efficiency.

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

Requirements:

• Bachelor's degree in computer science, a related field, or equivalent professional experience
• 5+ 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