Role Overview
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.
Responsibilities
- 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
Requirements
- Students / recent graduates from B.E./B.Tech/M.Tech in Mechanical, Automobile, Aerospace, Production, Computer Science, AI & ML, or Data Science
- Python fundamentals
- Basic understanding of AI/ML or Generative AI
- Good problem-solving ability
- Interest in LLMs and AI agents
- Basic Git/GitHub knowledge
- Willingness to learn APIs and modern AI development tools
Nice 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
Benefits
- 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