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LLM Engineering Expert – AI Evaluation & Engineering Simulation
eDataBae · India
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We are looking for experienced Engineering and AI Evaluation Experts to support an advanced AI research initiative focused on building and evaluating complex engineering tasks for next-generation AI systems. This opportunity is suitable for professionals with strong engineering design experience, computational skills, and expertise in simulation-based workflows. Role Overview As an LLM Engineering Expert , you will:
- Design complex engineering problems based on real-world workflows
- Develop simulation-based tasks with multiple constraints and optimization goals
- Build and validate computational environments using engineering simulation tools
- Analyze AI agent outputs and identify reasoning or tool-use challenges
- Create objective evaluation methods to assess technical correctness Required Expertise We are looking for experts in: Electrical Engineering Mechanical Engineering Aerospace Engineering Control Systems Robotics Engineering Simulation & Design Technical Skills
- Master's degree or PhD in Electrical, Mechanical, Aerospace Engineering, or related fields
- 10+ years of hands-on engineering design experience
- Strong programming skills in Python and experience with simulation environments
- Experience with tools such as:
- ngspice
- PySpice
- OpenFOAM
- FEniCSx
- CalculiX
- python-control
- CadQuery
- OpenModelica
- Cantera
- Gmsh
- Experience with LLM evaluation, coding agents, failure analysis, or AI benchmarking is preferred What We’re Looking For
- Strong understanding of engineering principles and simulation workflows
- Ability to validate physical correctness, units, boundary conditions, and technical documentation
- Experience analyzing technical outputs and identifying errors or improvement areas
- Strong attention to detail and problem-solving ability Engagement Details Locations: Bangladesh, India, Indonesia, Egypt, Ghana, Kenya, Nigeria, Turkey, Brazil, Colombia Work Mode: Remote Engagement: Contractor Assignment Duration: Up to 24 weeks Commitment: 40 hours/week with 4 hours PST overlap