AI Agentic Software Engineer

Trimble Inc. • Lake Oswego, OR

2d • $122,500 - $168,400 • Onsite

About The Position

Trimble is hiring an experienced full-stack engineer to lead technical development for the Payroll team within Trimble Financials. The role involves independently owning the technical development, quality, and performance of complex engineering work using agentic AI tools. The engineer will work with broad autonomy on ambiguous problems, set technical direction, and help bring strategic visions to life through secure, optimal architectures. The team is building a React micro-frontend backed by an event-driven .NET payroll system.

The engineer will design and improve AI-agent development pipelines and practices, including standards for supervising agent output and maintaining prompt libraries, agent skills, and evaluation datasets. They will lead architectural design and reviews, deliver end-to-end features across frontend and backend services, and own testing strategies and frameworks. The position also includes mentoring engineers, influencing technical direction, and ensuring engineering decisions and work align with applicable business KPIs.

The technical environment includes React, TypeScript, and single-spa on the frontend; .NET, C#, PostgreSQL, and event-driven messaging on the backend; and Azure, Docker, Kubernetes, Helm, and GitHub Actions for infrastructure and delivery. AI tools include Claude Code, GitHub Copilot, and Cursor. The position is based in Lake Oswego, Oregon, with onsite work four days per week.

Requirements

• At least 5 years of professional software engineering experience, including shipping and supporting production systems.
• Deep hands-on experience using and managing AI coding agents, including understanding their strengths, limitations, and error tendencies and knowing when not to trust them.
• Advanced proficiency in prompt design, agentic programming, oversight, and assessment of AI-generated code, including building evaluation and guardrail practices for a team.
• Practice and advocate for ethical AI principles, including privacy, explainability, transparency, and bias mitigation.
• Proven system architecture design skills and strong modern full-stack development experience, including frontend frameworks, backend services, distributed/event-driven systems, and cloud infrastructure.
• Experience designing end-to-end testing strategies and implementing end-to-end test suites.
• Track record of mentoring engineers and influencing technical direction beyond individual work.
• Entrepreneurial mindset and ownership of relevant outcomes.

Responsibilities

• Design, own, and continuously improve pipelines through which AI development agents perform coding, documentation, and refactoring on secure, maintainable, approved platforms.
• Set team standards for supervising agent output, code quality, and version control; maintain prompt libraries, agent skills, and evaluation datasets for reliable agent workflows.
• Lead design of modular, cost-aware architectures for scale and performance, and drive technical feasibility and security reviews early in the product development lifecycle.
• Ensure adherence to platform standards, lead prototype design reviews, author and review architecture decision records, and contribute to architectural decisions spanning services or teams.
• Deliver complex end-to-end features across frontend and backend services with minimal guidance.
• Own testing strategy and frameworks for the area, including unit, integration, and end-to-end testing, coverage targets, and automated continuous testing.
• Mentor and coach engineers on agentic development practices, code review, and system design; lead code and design reviews and share reusable patterns.
• Own applicable KPIs and ensure technical work and decisions are tied to business outcomes.

Benefits

• Medical, dental, vision, life, and disability benefits.
• Time off plans and retirement plans.
• Tax savings plans for health, dependent care, and commuter expenses (offered by most businesses).
• Paid parental leave.
• Employee Stock Purchase Plan.
• Bonus eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed