Agentic AI Software Engineer

Elevate Organizational Performance: Drive the Future of Technical Development as our Next Product Builder!

About Us: Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.

What Makes This Role Great: As a Product Builder, you will operate as a full-stack engineer owning the technical development, quality, and performance of engineering work using cutting-edge agentic AI tools. Product Builders may specialize as SDETs, Engineers, DevOps, or Architecture professionals, playing a critical role in bringing strategic visions to life through secure and optimal architectures.

Key Exciting Responsibilities:

• Agent Orchestration: Orchestrate AI development agents for coding, documentation, and refactoring via secure, maintainable pipelines and approved platforms. Supervise agent outputs, enforce code quality standards, maintain version control, and manage prompt libraries and evaluation datasets for agent workflows. • Architecture: Design optimal architectures for scaling and performance to be implemented by agents that are modular and cost-aware. Conduct high-level technical feasibility and security scans early in the PDLC and ensure adherence to Platform standards (e.g., TID, EMS, Modus, File Service). Participate in prototype design reviews to translate product requirements into execution plans and document architectural decisions with lightweight ADRs. • Feature Delivery and Testing: Build frontend features (e.g., UI, accessibility) and backend services (e.g., APIs, authentication, infrastructure). Define testing standards and frameworks, writing unit, integration, and E2E tests with explicit coverage targets and automated, continuous testing. • Business Outcomes: Adhere to applicable KPIs, ensuring your work is directly tied to business outcomes.

Essential Skills & Experience:

• Ability to use and manage AI coding agents, recognizing their strengths, limitations, and error tendencies. • Proficiency in prompt design, agentic programming, oversight, and assessment of AI-generated code. • Practices ethical AI principles including privacy, explainability, transparency, and bias mitigation. • System architecture design skills and experience in modern full-stack development, including frontend frameworks, backend services, and cloud infrastructure. • Experience designing and implementing End-to-End (E2E) tests. • Demonstrates an entrepreneurial mindset and ownership for relevant outcomes.