AI Agent Developer

Role overview Build and maintain AI agents and automated workflows that help enterprise teams retrieve information, support decisions, and complete multi-step tasks. The work focuses on application and workflow development: translating business needs into secure, governed systems, integrating them with approved tools and data, and improving reliability through testing and iteration. The role is remote for people based in Arizona, with occasional on-site work as needed.

Responsibilities - Turn business requirements into agent tasks, prompts, decision paths, inputs, outputs, and interaction rules. - Develop agent workflows that retrieve information, use approved tools, and support task execution within defined boundaries. - Integrate agents with enterprise systems, APIs, knowledge bases, and workflow platforms, coordinating on authentication and data flows. - Test agent behavior, edge cases, integrations, and recovery paths; monitor deployments and troubleshoot failures or inconsistencies. - Apply privacy, security, access, and escalation controls, documenting approved sources, limitations, and guardrails. - Maintain technical documentation and reusable implementation patterns, and incorporate stakeholder feedback into improvements.

Requirements - Bachelor’s degree in computer science, software engineering, information systems, data engineering, or a related field, or four years of equivalent experience. - At least three years in software engineering, systems integration, workflow automation, AI application development, or related work. - At least two years of experience with APIs, application integration, cloud platforms, or workflow orchestration. - Ability to collaborate across business, engineering, analytics, and governance teams to deliver maintainable solutions.

Nice to have - Graduate degree in a relevant technical field. - Experience with LLM applications, prompt design, retrieval, agent frameworks, or tool calling. - Work in healthcare or another regulated enterprise setting; familiarity with Copilot Studio or Google Cloud AI tools. - Relevant cloud, AI platform, or software engineering certifications.

Benefits and work setup - Monday-to-Friday daytime schedule. Remote work requires being located in Arizona; occasional on-site attendance may be needed.