Applied AI Engineer building production LLM runtime, retrieval, guardrails, and evaluation. Enabling reliable, cost - efficient AI features for mission - critical customer workflows.
About the role
- Freelance CFD Engineer training AI agents through CAD-based fluid simulations and verified reference solutions. Supporting a global platform with Python validation checks.
Responsibilities
- Train and evaluate AI agents on expert-level fluid simulation tasks
- Take CAD geometry and set up and run simulations
- Build verified reference solutions
- Write Python checks for agent results
Requirements
- A degree in Mechanical or Aerospace Engineering, or a related field such as energy or oil & gas; a PhD is preferred but not required
- Several years of hands-on industry or research CFD experience with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+, including meshing
- Solid verification and validation practice, including mesh-independence studies and validation against experiment or benchmarks
- Comfortable with Python and GitHub
- English at B2 level or above
- Nice to have: aerospace, automotive, offshore or turbomachinery background
- Nice to have: multiphase or particle-laden flow experience
Benefits
- Work fully remote on your own schedule with just a laptop and stable internet connection
- Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform
- Performance-based bonus programs rewarding high-quality work and consistent delivery
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