H
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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