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LLM - Engineering Expert

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Description




Hello,


Greetings from ZettaMine!!!


We are hiring LLM Engineering Experts for a short-term AI Evaluation, Engineering Simulation & Design project in India.


Role: LLM Engineering Expert

Experience: 10+ Years

Mode: Remote

Start: Immediate

Employment Type: Part-time


Availability :

  • Ability to work 40 hours/week with 4+ hours PST overlap
  • Immediate availability for remote contract work

Mandatory Eligibility Criteria


Technical Qualification:

  • 10+ years of hands-on engineering design/development experience
  • Strong Python programming/scripting experience.
  • Hands-on experience with at least one engineering simulation, modelling, CAD, or computational engineering tool: ngspice | PySpice | OpenFOAM | FEniCSx | CalculiX | python-control | CadQuery | build123d | OpenModelica | Cantera | Gmsh
  • Practical experience in engineering design, simulation, modelling, testing, validation, or optimization
  • Experience with LLMs, AI coding agents, or AI-assisted engineering workflows
  • Ability to work with complex engineering requirements, constraints, physical limitations, and optimization objectives
  • Strong understanding of units, dimensional consistency, physical plausibility, boundary conditions, convergence, numerical methods, and simulation validation
  • Ability to analyze AI-agent outputs and execution logs.

Educational Qualification:


Mandatory: Masters degree or PhD in one of the following:

  • Electrical Engineering
  • Mechanical Engineering
  • Aerospace Engineering
  • Control Systems Engineering
  • Systems Engineering
  • Robotics Engineering

Preferred: PhD or advanced research experience in computational engineering, simulation, robotics, controls, optimization, or AI-assisted engineering.


Others:

  • Personal laptop/desktop and stable high-speed internet

What Youll Work On:

  • Design complex engineering problems for AI/LLM evaluation
  • Create simulation-based tasks with multiple constraints and optimization objectives
  • Configure and validate engineering simulation environments
  • Analyze AI coding-agent outputs, execution logs, and trajectories
  • Identify reasoning, coding, tool-use, numerical, and engineering failures
  • Develop reference solutions, automated tests, and autograders
  • Validate physical plausibility, units, boundary conditions, convergence, and simulation results
  • Calibrate benchmark difficulty based on AI model performance

Interested candidates: Please share your updated CV at: sowmyasree.p@zettamine.com


Thanks & Regards,

Sowmya Pothala

ZettaMine




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