Everstar
Founding AI Engineer
New York City. Posted 10 months ago
The role
You will build production AI systems and conduct frontier R&D to accelerate nuclear deployment. This role involves owning the AI stack from evaluation frameworks to fine-tuning pipelines and agent orchestration.
What you will do
- Build production AI agents
- Design eval infrastructure
- Own fine-tuning pipelines
- Push the frontier with AI-accelerated weather simulations
- Develop physics-informed design safety analyses
- Create vision and physics models for document analysis and monitoring
- Develop agentic workflows
- Leverage NVIDIA partnership for cutting-edge tools
- Set technical direction for model selection and ML ops stack
- Mentor and lead other AI engineers
Required qualifications
- 3–8 years building production ML/LLM systems
- Mastery of Hugging Face, LangChain, vector databases, prompt engineering, and modern LLM ops
- Experience designing benchmark suites and tracking model quality
- Experience owning outcomes, setting technical direction, or mentoring teammates
- Submit resume and LinkedIn profile
- Submit GitHub or portfolio
- Submit 200 words on what excites you about building AI for nuclear deployment
- Submit 150 words describing a production ML system you owned
Nice to have
- Experience with physics-informed neural networks, scientific computing, or simulation acceleration
- Published research in ML/AI
- Contributions to open-source ML frameworks
- Deep familiarity with NVIDIA tools (NeMo, Modulus, CUDA optimization)
- Background in physics, engineering, or computational science
- Experience with physics-informed AI, simulation acceleration, or scientific computing
Benefits
- Top of market base
- Meaningful equity
- Health/dental/vision
- FSA
- Wellness stipend
- Large AI research budget for compute, conferences, and experimentation
- Access to NVIDIA and Microsoft research teams and tools
- Access to latest NVIDIA hardware
About the company
Everstar builds the intelligence layer that makes nuclear power actually deployable. They pair deep nuclear domain expertise with frontier AI.