Role & responsibilities

- Design and validate complex engineering simulation problems for AI agents.

- Create engineering design tasks with multiple constraints, optimization goals, and validated solutions.

- Use open-source simulation tools and Python to build and test engineering problems.

- Analyze AI agent outputs and execution logs to identify reasoning, coding, and simulation failures.

- Refine benchmark tasks based on model performance and ensure technical accuracy and physical plausibility.

Preferred candidate profile

- Masters degree or PhD in Electrical, Mechanical, or Aerospace Engineering with 10+ years of hands-on engineering design experience.

- Strong experience with engineering simulation tools and Python scripting.

- Experience with LLMs, coding agents, AI evaluation, or failure-mode analysis.

- Robust understanding of engineering principles, physical constraints, unit consistency, and simulation validation.

- Excellent analytical, problem-solving, and technical documentation skills.

📌 AI Evaluation Engineer (Gurugram)
🏢 Crossing Hurdles
📍 Gurugram