Hiring: AI Integration Specialist Company: Mi-Case Location: Phoenix, AZ Job Posted Time: 2026-09-03 10:20:17 Target Skills & Keywords : .NET, ASP.NET Core, Accessibility, Azure, Azure DevOps, Blazor, C#, CI/CD, Docker, Embedded Systems, Entity Framework, FedRAMP, GitHub, Jira, Regulatory Compliance, WCAG About the job Experience: •2+ years of professional software engineering experience, with at least 1–2 years of hands-on work with AI coding agents and AI-assisted development workflows. Required Skills: •Own the agentic development environment — ensure AI agents can operate in secure, isolated, cloud-based development environments that respect Mi-Case’s CJIS, FedRAMP, and customer data handling requirements; enable agents to execute test suites, run builds, and inspect results safely. •Build tooling and MCP integrations — design and implement Model Context Protocol (MCP) server integrations that connect AI agents to the systems needed to build, test, debug, and deliver Mi-Case software, including Azure DevOps, GitHub, Jira, CI/CD pipelines, observability tooling, and internal knowledge sources. •Documentation and context engineering — own the repo-wide AGENTS.md (and equivalent agent guidance files) for Mi-Case codebases; partner with engineering teams to ensure conventions, package structures, architectural patterns, and product domain knowledge are exposed to agents in ways they can effectively consume. •Stay on the leading edge — consistently track state-of-the-art AI productivity tooling, agent frameworks, and developer experience trends; pilot promising approaches and drive adoption across Mi-Case where they create measurable value. •Responsible AI in engineering — implement guardrails, evaluation harnesses, and review processes that ensure AI-generated code and AI-assisted contributions meet Mi-Case’s quality, security, accessibility (Section 508 / WCAG), and regulatory compliance standards before reaching customer environments. •Cross-functional collaboration — work closely with the Director of AI, Engineering Leadership, Product, Information Security, and Customer Success to align AI engineering initiatives with broader Mi-Case AI governance, policies, and strategic objectives. •Metrics and reporting — define and report on key metrics for AI-assisted development effectiveness (e.g., agent task success rates, developer time saved, defect rates of AI-generated code) and use those metrics to inform continuous improvement. •Strong software engineering fundamentals — ability to dive into complex backend code (C# / .NET preferred) and understand it quickly. Qualifications: •Bachelor’s degree in Computer Science, Software Engineering, or a related technical field — or equivalent demonstrated experience. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!