Lead Software Engineer

Overview

Trimble is seeking an AI Engineer to join its Construction Management Solutions (CMS) team in Chennai. In this individual contributor role, you will architect and embed Generative AI and LLM capabilities across the CMS ERP product suite.

What you'll do

• Design, develop, and deploy production-ready AI solutions across the ERP platform ecosystem, managing the full lifecycle from exploratory prototyping to enterprise-scale deployment.
• Build robust Generative AI workflows using LangChain, Azure OpenAI, and foundational LLMs, integrating vector search databases to ground AI outputs in proprietary enterprise data.
• Engineer complex multi-step prompts and optimize zero-shot and few-shot techniques to power personalized recommendations, intelligent document processing, and natural language workflows.
• Rigorously evaluate LLM performance, fine-tune model parameters, optimize latency and token economics, and establish interpretability standards for reliable web application integrations.
• Collaborate closely with product managers, UX designers, and integration engineers to identify high-value customer problems and translate them into AI-driven product capabilities.
• Stay ahead of AI/ML breakthroughs, agentic frameworks, and new model iterations, evaluating their application within enterprise construction workflows.

What you'll need

• 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.
• Direct hands-on expertise with Azure OpenAI, OpenAI Studio, and state-of-the-art LLMs (GPT-4/GPT-4o and next-generation iterations).
• Deep proficiency in LangChain, modern LLM orchestration layers, and working with both NoSQL platforms and dedicated Vector Databases (e.g., Pinecone, Milvus, Qdrant, Chroma).
• Strong fluency in Python, supported by solid computer science fundamentals in data structures, algorithms, system design, and clean-code engineering practices.
• In-depth understanding of natural language processing (NLP), deep learning fundamentals, and generative architectures (such as GPT, VAEs, and GANs).
• Demonstrated ability to evaluate response quality, reduce hallucinations, and optimize context retrieval to deliver reliable, enterprise-grade user experiences.

Nice to have

• Prior experience implementing AI/ML or automation features inside enterprise ERP, accounting, or supply chain platforms.
• Hands-on familiarity with Retrieval-Augmented Generation (RAG) production architectures and agentic workflows.
• Familiarity with Microsoft Azure cloud infrastructure, containerized deployments (Docker/Kubernetes), and continuous integration pipelines for ML systems.

Details

• Location: Chennai, India
• Department: Construction Management Solutions (CMS)
• Job type: Full-Time
• Flexible work arrangements are offered.