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Trimble

Connects physical industries to digital platforms

Lead Software Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

  • Six or more years of professional experience in machine learning and AI engineering, including architecting, deploying, and maintaining production-grade AI solutions.
  • Hands-on expertise with Azure OpenAI, OpenAI Studio, and large language models such as GPT-4 and GPT-4o.
  • Proficiency with LangChain, modern large language model orchestration layers, NoSQL platforms, and vector databases such as Pinecone, Milvus, Qdrant, or Chroma.
  • Strong Python fluency and computer science fundamentals in data structures, algorithms, system design, and clean-code engineering practices.
  • In-depth understanding of natural language processing, deep learning fundamentals, and generative architectures such as GPT, variational autoencoders, and generative adversarial networks.
  • Ability to evaluate response quality, reduce hallucinations, and optimize context retrieval for reliable enterprise-grade user experiences.

Responsibilities

  • Design, develop, and deploy production-ready AI solutions across the ERP platform ecosystem, managing the full development lifecycle from exploratory prototyping to enterprise-scale deployment.
  • Build generative AI workflows using LangChain, Azure OpenAI, and foundational large language models, integrating vector search databases to ground outputs in proprietary enterprise data.
  • Engineer complex multi-step prompts and optimize zero-shot and few-shot techniques for personalized recommendations, intelligent document processing, and natural-language workflows.
  • Evaluate large language model performance, fine-tune model parameters, optimize latency and token economics, and establish interpretability standards for reliable web application integrations.
  • Collaborate with product managers, user experience designers, and integration engineers to identify high-value customer problems and translate them into AI-driven product capabilities.
  • Explore emerging AI and machine learning advances, agentic frameworks, and new model iterations, evaluating their application within enterprise construction workflows.

Desired Qualifications

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

About the Company

Trimble

Connects physical industries to digital platforms

Trimble connects physical industries to digital technology, providing hardware, software, and services that link design, construction, and operation across the project lifecycle. Its products embed technology into workflows and equipment so data can flow from planning and design to field operations and asset management through a unified, subscription-based platform. It differentiates itself with a long history of acquisitions that built a broad ecosystem and a shift to the Connect and Scale model, focusing on integrated solutions and recurring revenue rather than standalone hardware. Its goal is to transform how essential work gets done by unifying project lifecycle data and workflows across architecture, engineering, construction, and transportation.

Company size
10,001+
Company stage
IPO
Headquarters
Westminster, CO
Founded
1978

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