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AI Application Mechanical Engineer

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Onsite

AI Application Mechanical Engineer

Hontrel Technologies

AI Application Mechanical Engineer

Skills

TypescriptPythonC#AIJavascript

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

30 August 2026

What they need


Roles & Responsibilities

  • Develop AI-powered applications for engineering and manufacturing use cases at IEHUB.AI.
  • Work with engineering datasets including BOMs, CAD data, drawings, specifications, technical documents, materials, and product information.
  • Analyze, structure, clean, classify, map, and validate engineering datasets.
  • Use Generative AI / LLMs to build engineering automation workflows and AI applications.
  • Develop and optimize prompts, AI workflows, and AI agents for engineering use cases.
  • Develop CAD automation solutions using CAD APIs, scripts, macros, or automation frameworks.
  • Convert engineering rules, logic, and workflows into AI-powered applications.
  • Build integrations between AI applications, CAD systems, engineering databases, and APIs.
  • Test and validate AI outputs against engineering requirements and expected results.
  • Work closely with mechanical engineers and software/AI engineers to develop and deploy production-ready applications.
  • Continuously evaluate new GenAI technologies and identify opportunities to improve engineering automation.

Candidate Education & Experience

  • B.E./B.Tech in Mechanical Engineering or equivalent.
  • 2+ years of experience in CAD automation / CAD customization.
  • Hands-on experience with at least one CAD platform such as SolidWorks, AutoCAD, Inventor, or similar.
  • Experience with CAD APIs, macros, scripting, or automation.
  • Practical hands-on experience using Generative AI / LLMs.
  • Good understanding of prompt engineering and AI application workflows.
  • Programming experience in Python, C#, C++, JavaScript/TypeScript, VBA, or similar; Python is preferred.
  • Good understanding of mechanical engineering, drawings, BOMs, assemblies, and product structures.
  • Experience working with engineering datasets is highly preferred.
  • Exposure to AI agents, RAG, vector databases, APIs, or LLM frameworks is an advantage.
  • Strong analytical and problem-solving skills with an interest in applying AI to real-world engineering problems.

What We Offer

  • Opportunity to work at the intersection of Mechanical Engineering, CAD Automation, and Generative AI.
  • Hands-on experience working with real-world engineering datasets and industrial AI applications.
  • Opportunity to build AI applications and agents that automate engineering workflows.
  • Exposure to modern LLMs, AI agents, engineering intelligence, and automation technologies.
  • Work closely with experienced engineering, AI, and software professionals.
  • Opportunity to learn and work across both engineering and AI technologies.
  • A role with significant ownership and the opportunity to build solutions from concept to production.

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