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.
Robust 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