[Remote] Staff AI Engineer

Note The job is a remote job and is open to candidates in USA. Asset Management Powered by AssetWorks USA is seeking a Staff AI Engineer to lead their team in transforming into AI-first development. This role involves designing AI-driven software development practices, mentoring developers, and ensuring the quality of AI-generated outputs. Responsibilities Design and implement agentic development workflows - defining how AI agents are directed, evaluated, and governed across the team Establish quality engineering practices embedded in the development process Evaluate AI agent output for correctness, security, and architectural integrity - the team’s last line of defense Build and maintain AI-powered features, integrations, and internal tooling (LLM orchestration, MCP servers, observability) Define guardrails and risk governance for AI-assisted development - identifying one-way doors before agents walk through them Mentor developers on effective agent-directed workflows, prompt engineering, and critical evaluation of AI output Make architectural calls that AI agents cannot - system design, tradeoff analysis, cross-cutting concerns Drive test automation strategy and implementation as part of the development lifecycle, not as a separate function Skills 7+ years software engineering experience with progressive technical leadership Demonstrated experience building agentic AI workflows, designing multi-step agent systems Experience with LLM orchestration, prompt engineering, and AI observability/evaluation frameworks Strong background in quality engineering or test automation - you've architected test frameworks from scratch Ability to evaluate AI-generated code for correctness, security issues, and architectural drift Experience leading or mentoring development teams through paradigm shifts Proficiency in at least one modern stack (TypeScript/Node.js, Python, C#/.NET, or similar) Solid understanding of CI/CD, automated testing pipelines, and release engineering Excellent communication - able to explain complex AI/engineering decisions to technical and non-technical stakeholders Experience with MCP (Model Context Protocol) or similar agent-tool integration patterns Background spanning both QA/test engineering and software development Experience with Angular, C#/.NET, or SQL Server (our stack) Cloud platform experience (Azure, GCP, or AWS) Familiarity with Playwright, Selenium, or similar E2E frameworks Experience establishing engineering practices across multiple squads or teams Company Overview At the heart of Asset Management innovation is a commitment to bringing the finest in fixed asset inventory management. It was founded in 1998, and is headquartered in , with a workforce of 51-200 employees. Its website is https//www.assetworks.com/active-assets/.