Job Title:

Body CAE

No. of Positions:

- 1

Job Location:

- Chennai

Job Description:

- Design and deploy multi-agent AI systems that autonomously orchestrate engineering simulation workflows end-to-end
- Build LLM-powered agents with tool use, memory, planning, and self-correction capabilities integrated into production CAE environments
- Develop agent orchestration pipelines using frameworks such as LangGraph, AutoGen, CrewAI, or custom agentic architectures
- Integrate agents with external tools and APIs: simulation solvers, mesh processing tools, databases, and internal engineering systems
- Implement Retrieval-Augmented Generation (RAG) systems grounded in engineering domain knowledge, simulation data, and technical documentation
- Collaborate with mechanical and simulation engineers to translate complex domain requirements into agentic AI solutions
- Monitor, debug,



and optimize agent performance, latency, and cost in production systems

Skill Set:

- AI Agentic Engineer - Generative AI, LLM, RAG, Model Fine-tuning, Deep-Learning, Transformers

Domain Knowledge:

- Agentic frameworks: LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar
- RAG architecture: vector databases (Pinecone, ChromaDB), chunking strategies, embedding models
- MLOps and deployment: Docker, CI/CD pipelines, model serving (FastAPI, vLLM, TGI)
- Structured output and function calling: JSON schema enforcement, tool registration, agent memory patterns
- CAE/FEA software awareness (LS-DYNA, Abaqus, ANSYS) - a plus, not required

📌 Body CAE - ZR_2876_JOB (Chennai)
🏢 Satyam-Venture
📍 Chennai