AI Engineer

RVO Health•Charlotte, NC

3d•Hybrid

About The Position

RVO Health is looking for an 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. 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. 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. To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees to work from our Fort Mill, SC office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. 1101 Red Ventures Dr Fort Mill, SC 29707

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