At Trimble, we are enabling our customers by leveraging cutting-edge artificial intelligence. We believe that intelligent agents will fundamentally transform how businesses operate. We are building a foundational Agentic AI Platform to power these next-generation applications, and we're looking for passionate, experienced engineers to lead the way.
What you will do
As a Full-Stack Software Engineer on the Agentic AI Platform team, you will be instrumental in building both the backend systems and the frontend interfaces that power our sophisticated AI agents. You will tackle challenging technical problems across the stack, implementing robust backend services, APIs, and scalable infrastructure, as well as developing intuitive user interfaces for internal tools, testing environments, or agent interaction components. You will contribute to the architectural direction, collaborating closely with backend specialists, frontend developers, designers, and AI researchers. This role requires strong software engineering fundamentals across both backend and frontend development, practical experience building scalable systems, and a keen interest or experience in modern AI technologies, especially Large Language Models (LLMs).
1. Full-Stack Development & Implementation:
Design, implement, test, and deploy robust backend components for the agentic AI platform (APIs, services, orchestration, data persistence) using languages like Python, Typescript, Java, etc. (Python highly relevant).
Design, implement, test, and deploy user-facing features and internal tools using modern frontend technologies, including JavaScript, TypeScript, React, HTML, and CSS.
Develop core libraries, SDKs, and components across the stack to enable efficient development and deployment of AI agents and associated tooling.
Write high-quality, maintainable, and well-tested code for both backend and frontend systems.
Implement and improve monitoring, logging, and alerting across the full stack.
Participate actively in code reviews for both frontend and backend code.
2. Technical Design & Contribution:
Contribute significantly to technical design and architecture discussions, considering both backend and frontend implications for new features and system improvements.
Collaborate with principal engineers, product managers, UX/UI designers, and researchers to refine requirements and translate them into effective full-stack technical solutions.
Evaluate and prototype new technologies, algorithms, and frameworks relevant to agentic AI, platform infrastructure, and frontend development.
Take ownership of the technical implementation for specific features or components spanning the full stack.
3. Collaboration & Knowledge Sharing:
Work closely with teammates and cross-functional partners (Product, Design, Research, other Engineering teams) to deliver cohesive user experiences and robust backend capabilities.
Share knowledge, document designs and processes effectively for both backend and frontend aspects.
May mentor junior engineers on full-stack development practices.
4. Operational Excellence:
Troubleshoot and debug complex issues in production environments, potentially spanning frontend, backend, and infrastructure layers.
Participate in addressing issues across the stack.
Contribute to improving the scalability, performance, security, usability, and cost-effectiveness of the platform and its interfaces.
What You Should Bring
Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of professional full-stack software development experience.
Strong proficiency in one or more backend programming languages such as Python, Javascript/Typescript or Java (Python highly relevant for the AI domain).
Strong proficiency in frontend technologies including JavaScript, TypeScript, HTML, CSS, and modern frontend frameworks (specifically React).
Experience building developer tools or interfaces for complex technical products (e.g., AI/ML tooling, data platforms).
Hands-on experience with agentic AI concepts/frameworks (e.g., LangChain, LlamaIndex), vector databases (e.g., Pinecone, Weaviate), or RAG techniques.
Experience in computer science fundamentals (data structures, algorithms, operating systems, networking).
Experience building, deploying, and operating backend services and APIs in a cloud environment (AWS, GCP, or Azure).
Experience building and deploying responsive and performant user interfaces.
Experience with system design and architecture, with the ability to contribute to complex design discussions covering the full stack.
Interest in or practical experience with AI/ML concepts, particularly working with or integrating Large Language Models (LLMs).
Experience with software development best practices (testing frameworks for backend and frontend, CI/CD, monitoring, code reviews).
Strong problem-solving skills and attention to detail.
Good communication and collaboration skills, including working with designers.
Preferred Qualifications
Experience building platform or infrastructure-as-a-service components.
Experience with state management libraries (e.g., Redux, Zustand) and frontend build tools (e.g., Webpack, Vite).
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Experience with MLOps practices and tools.
Experience with containerization (Docker) and orchestration (Kubernetes).
Experience with infrastructure-as-code (e.g., Terraform).
Experience optimizing the performance and scalability of both backend distributed systems and frontend applications.
About the Agentic AI Platform Team
The Agentic AI Platform Team is a new team. This role will have significant influence on the technical strategy and implementation. The team is currently reporting through Trimble’s AECO segment, though we fully expect the Agentic AI Platform services will be leveraged to build AI-powered products across Trimble Construction (AECO + FS).
Trimble’s Inclusiveness Commitment
We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.
We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.
