Senior Software Engineer; Agentic AI

Requirements

• 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
• 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

• 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
• 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, 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