Lead Software Engineer

Trimble Uk; India; On-site; INR 4,200,000 - 6,500,000; Full time

Job summary

Trimble is seeking an AI Engineer to join the CMS team in Chennai. You will architect and embed AI capabilities across the ERP suite, leveraging Azure OpenAI and state-of-the-art LLMs to transform construction technology.

Join a high-impact role with end-to-end autonomy, collaborating with product, UX, and integration engineers to push the boundaries of AI in enterprise systems.

Qualifications

• 6+ years in Machine Learning and AI engineering.
• Hands-on experience with Azure OpenAI, LangChain, and LLMs.
• Proficient in Python and CS fundamentals.
• Experience with vector databases and NoSQL platforms.
• Ability to evaluate and improve AI outputs in production.

Responsibilities

• Design, develop, and deploy production AI across the ERP platform.
• Build Generative AI workflows with LangChain and Azure OpenAI.
• Engineer multi-step prompts and optimize zero-/few-shot methods.
• Evaluate LLMs, tune parameters, and optimize latency.
• Collaborate with product, UX, and integration teams.
• Stay ahead of AI/ML breakthroughs and apply to construction workflows.

Skills

AI architecture

Azure OpenAI

OpenAI GPT-4

LangChain

Vector databases

Python

NLP & Generative AI

Model evaluation

Tools

NoSQL platforms

Vector databases (Pinecone, Milvus, Qdrant, Chroma)

Job description

Revolutionize Enterprise ERP Systems as an AI Engineer

Are you a forward-thinking AI practitioner driven to push the boundaries of Generative AI, LLMs, and intelligent automation within enterprise systems? Trimble is seeking a high-caliber AI Engineer to join our Construction Management Solutions (CMS) team in Chennai. In this high-impact individual contributor role, you will work hands-on across our premier ERP product suite, architecting and embedding state-of-the-art AI capabilities utilizing Azure OpenAI, modern foundation models, and vector search frameworks to shape the next generation of construction technology.

About Us:

Dedicated to the world's tomorrow, Trimble is a technology company delivering solutions that enable our customers to work in new ways to measure, build, grow and move goods for a better quality of life. Core technologies in positioning, modeling, connectivity and data analytics connect the digital and physical worlds to improve productivity, quality, safety, transparency and sustainability. From purpose-built products and enterprise lifecycle solutions to industry cloud services, Trimble is transforming critical industries such as construction, geospatial, agriculture and transportation to power an interconnected world of work. For more information about Trimble (NASDAQ: TRMB), visit: www.trimble.com

About Our Division: Construction Management Solutions (CMS)

As an industry leader in construction software and ERP solutions, Trimble CMS empowers contractors worldwide. We connect the office, team, and field by seamlessly integrating core business functions like construction accounting and project controls with jobsite execution. Powered by modern cloud architectures and partnerships, we help global organizations prototype, validate, and scale AI-powered solutions to enterprise grade.

What Makes This Role Great:

We embrace a talent-led culture where success is defined by technical ingenuity and creative exploration. In this role, you will not simply consume standard APIs‑you will architect, prototype, and scale groundbreaking Generative AI capabilities that have never been built before in construction ERP. Working out of our Chennai engineering hub alongside some of the sharpest minds in software development, data science, and product design, you will possess end-to-end technical autonomy to take AI features from initial zero-shot experimentation all the way to global production releases.

Key Exciting Responsibilities

• AI Architecture & End-to-End Delivery: Design, develop, and deploy production-ready AI solutions across our ERP platform ecosystem, managing the full development lifecycle from exploratory prototyping to enterprise-scale deployment.
• LLM Engineering & Framework Integration: Build robust Generative AI workflows utilizing LangChain, Azure OpenAI, and foundational LLMs, integrating vector search databases to ground AI outputs in proprietary enterprise data.
• Advanced Prompt & Context Engineering: Engineer complex multi-step prompts and optimize zero-shot and few-shot techniques to power personalized recommendations, intelligent document processing, and natural language workflows.
• Model Evaluation & Hyperparameter Tuning: Rigorously evaluate LLM performance, fine-tune model parameters, optimize latency and token economics, and establish interpretability standards for reliable web application integrations.
• Cross-Functional Product Roadmap Influence: Collaborate closely with product managers, UX designers, and integration engineers to identify high-value customer problems and translate them into AI-driven product capabilities.
• Continuous Technology Exploration: Stay ahead of the curve across rapidly emerging AI/ML breakthroughs, agentic frameworks, and new model iterations, evaluating their application within enterprise construction workflows.

Essential Skills & Experience

• Professional Experience: 6+ years of dedicated professional experience in Machine Learning and AI engineering, with a proven track record of architecting, deploying, and maintaining production-grade AI solutions.
• Core Technical Stack: Direct hands-on expertise with Azure OpenAI , OpenAI Studio , and state-of-the-art LLMs (GPT-4/GPT-4o and next-generation iterations).
• AI Frameworks & Tooling: Deep proficiency in LangChain , modern LLM orchestration layers, and working with both NoSQL platforms and dedicated Vector Databases (e.g., Pinecone, Milvus, Qdrant, Chroma).
• Programming & Software Engineering: Strong fluency in Python , supported by solid computer science fundamentals in data structures, algorithms, system design, and clean-code engineering practices.
• NLP & Generative AI Mastery: In-depth understanding of natural language processing (NLP), deep learning fundamentals, and generative architectures (such as GPT, VAEs, and GANs).
• Evaluation & Alignment: Demonstrated ability to evaluate response quality, reduce hallucinations, and optimize context retrieval to deliver reliable, enterprise-grade user