Lead Agentic Artificial Intelligence Engineer

Trimble Inc.; Chennai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Trimble Inc. is seeking a Lead/Staff Software Engineer for the Agentic AI Platform in Chennai, India. This role involves full-stack development, focusing on backend components and user-facing features using technologies like Python, JavaScript, and React. Ideal candidates should have over 5 years of experience in software development, a Bachelor's in Computer Science, and a passion for AI and cutting-edge technologies. Join Trimble to shape innovative solutions that transform businesses.

Qualifications

• 5+ (Senior) / 8+ (Staff) years of full-stack development experience.
• Strong proficiency in backend languages like Python and Java.
• Experience with responsive UI development and cloud services.

Responsibilities

• Design, implement, test, and deploy backend components and APIs.
• Collaborate with teams to translate requirements into technical solutions.
• Troubleshoot complex issues across the stack.

Skills

Full-Stack Development

Python

JavaScript

Typescript

React

Machine Learning

Cloud Services

API Development

Debugging

System Design

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

Terraform

Job description

Lead/Staff Software Engineer, Agentic AI Platform

Preferred Location(s):

• Chennai, India

The Team: AECO Segment, Agentic AI Platform Team

Reports to: Dinesh Sarangapani, Distinguished Engineer, Agentic AI Platform

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

• 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.
• 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.
• 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.
• 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 (or equivalent practical experience) in Computer Science, Engineering, or a related field.
• 5+ years (Senior) / 8+ years (Staff) 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).
• Solid understanding of 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 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 with state‑management libraries (e.g., Redux, Zustand) and frontend build tools (e.g., Webpack, Vite).
• 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.