At A Glance

We are looking for a Senior AI Engineer to help build the next generation of AI-powered tools to accelerate our internal ms. This is a software engineering role first where you should be comfortable owning backend systems, APIs, and production architecture. AI/agentic experience is the layer on top. 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.
Where You'll Be

To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees to work from our Charlotte, NC/Fort Mill, SC, Denver, CO or Minneapolis, MN office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.

(This role is also open remotely for those candidates outside of a hub location)
What You'll Do

• 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, IT, 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
• Enable the organization by building a marketplace of shared skills/plugins
• 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

What We're Looking For

• 4+ years of software engineering experience, with at least 1 year focused on building with AI and/or creating LLM-powered applications
• Experience building and deploying apps in cloud infrastructure
• 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)
• Experience with software engineering best practices including: version control, testing, CI/CD, observability, and code review
• Strong communication skills and the ability to work with non-technical stakeholders to understand workflows and translate them into technical requirements

Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.

• Starting Salary: $140,000 - $175,000
  *Note actual salary is based on geographic location, qualifications and experience
• 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
• Pharmacy Benefits
• Income Protection Plans
• Pet Services Plans
• Mental Health Support
• Wellness Coaching
• HSA- Health Savings Account
• Commuter Benefits
• Gym & Fitness Center Discount Program

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