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PANSOFT is building a new AI Engineering practice focused on combining Frontier AI, CAE, Engineering Automation and Engineering Data. We are looking for motivated interns who want to work at the intersection of AI + Engineering and build real-world AI applications for engineering organizations. Internship Role:AI Engineering Intern Claude / Engineering AI What You Will Work On - Build AI-powered engineering assistants using Claude and LLM technologies - Develop AI agents and MCP-based workflows - Integrate AI with Python, APIs and engineering applications - Work on FEA/CFD/CAD engineering workflows - Build Engineering Knowledge & RAG systems - Explore AI-assisted CAE automation - Work with engineering documents, simulation reports and technical data - Develop prototypes for PANSOFT Engineering AI Copilot - Support development of AI-CAE Workstation and PANSOFT VEO - Evaluate and improve AI responses for engineering applications Who Can ApplyStudents / recent graduates from: B.E./B.Tech/M.Tech - Mechanical Engineering - Automobile Engineering - Aerospace Engineering - Production / Manufacturing Engineering - Computer Science / AI & ML - Data Science - Related engineering disciplines Required Skills - Python fundamentals - Basic understanding of AI/ML or Generative AI - Positive problem-solving ability - Interest in LLMs and AI agents - Basic Git/GitHub knowledge - Willingness to learn APIs and modern AI development tools Good to Have - Claude / ChatGPT / Gemini API experience - RAG / Vector databases - LangChain / LlamaIndex - MCP - FastAPI - React / TypeScript - CAE knowledge FEA / CFD / CAD - ANSYS / Abaqus / OpenFOAM / Code_Aster - Python automation What You Will Gain Hands-on experience building production-oriented AI applications Exposure to Claude and modern LLM technologies AI Agent & MCP development experience Engineering AI / CAE automation experience Real engineering problem-solving exposure Opportunity to contribute to PANSOFT's AI Engineering product ecosystem Potential opportunity for full-time conversion based on performance LocationPune @ Nanded City: Offline (Hybrid depending on project requirements) Duration36 Months Ideal CandidateSomeone who doesn't just want to learn AI, but wants to build AI systems that solve real engineering problems. If you are interested in AI + Engineering + CAE + Automation, this is an opportunity to work on something at the intersection of two rapidly evolving fields. Interested candidates can share their CV/GitHub/portfolio with PANSOFT. Email: .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.