AI / LLM & ML Engineer jobs in United States
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ChatGPT Jobs ยท 6 days ago

AI / LLM & ML Engineer

Bowhead is seeking a part-time AI / LLM & ML Engineer to support the High Performance Computing Modernization Program. The role involves designing and deploying AI systems, developing tools for automated input setup, and collaborating with domain experts to enhance physics-based simulations.

Computer Software
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Design and implement "fenced-off" (isolated, secure) LLM-based assistants
Build RAG pipelines over CREATE documentation, examples, templates, and historical cases
Implement guardrails, schema validation, and automated tests
Develop tools that automatically ingest user requirements and baseline geometries/conditions
Generate candidate input configurations for CREATE solvers
Run sanity checks against best practices and project constraints
Integrate these tools with existing workflow automation / job submission systems
Prototype and evaluate internal "AI coding copilot" workflows for CREATE teams
Help define best practices for AI-assisted development in a secure, fenced-off environment
Collaborate with domain experts to implement ML/LLM components that accelerate solver workflows
Support fast design-space exploration and parametric studies using Helios/Kestrel and Sage
Benchmark and profile GPU-accelerated solutions on Lambda systems to quantify speedups vs. CPU or baseline runs
Work with existing CREATE surrogate modeling tools (e.g., Sage)
Build data pipelines from large CFD/physics simulations into training datasets
Train, validate, and package surrogate models for real-time or near real-time predictions
Assist in integrating physics-informed or physics-incorporated ML models

Qualification

PythonLLM experienceLinux environmentsGPU experienceHPC systemsSurrogate modelingCommunicationIndependent work

Required

Currently pursuing a degree in Computer Science, Computer Engineering, Data Science, Applied Math, or a closely related field with focus in AI/ML
Strong programming experience in Python (PyTorch and/or TensorFlow; Hugging Face or similar LLM ecosystems)
Prior, hands-on experience building or fine-tuning LLMs and implementing RAG pipelines (vector stores, embeddings, retrieval, prompt orchestration)
Prior experience in building agentic AI models and Large Action models
Extensive hand-on experience with Linux environments (shell, ssh, basic admin, environment management)
Experience working with GPUs (e.g., CUDA-based training/inference, profiling basic performance)
Demonstrated experience running workloads on HPC systems (job schedulers, batch scripts, scaling basics)
Prior exposure to CREATE codes (Helios and/or Kestrel), or equivalent large-scale CFD / physics-based solvers
Familiarity with AI surrogate modeling concepts (e.g., DNNs, CNNs, surrogates, reduced-order models)
Ability to work independently, ask good technical questions, and iteratively refine solutions with domain experts
Strong written communication skills for documenting workflows, APIs, and architectural decisions
Must be able to lift up to 25 pounds
Must be able to stand and walk for prolonged amounts of time
Must be able to twist, bend, and squat periodically
Must currently hold a security clearance at the Top Secret level, may be required to obtain a Top Secret/SCI clearance upon hire. US Citizenship is a requirement for Top Secret clearance at this location

Company

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Funding

Current Stage
Early Stage
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