Founding AI Engineer

Everstar • New York City, NY

3d • Onsite

About The Position

Everstar is building AI tools to accelerate nuclear deployment. Our platform, Gordian , powers regulatory search, research, and compliance drafting with outputs that are truthful, complete, and auditable . Our team includes a former NRC executive and engineers from SpaceX and Silicon Valley, blending nuclear expertise with cutting‑edge AI execution. We’re here because: Climate is the biggest, most urgent problem of our lifetime. Unlocking nuclear energy is the key to powering the AI era and enabling AGI/ASI. We want to wake up every day building shit that matters, with real impact. We’re seeking a Founding AI Engineer to lead the charge on production‑grade LLMs and AI agents. You’ll bring rigor to evaluations, fine‑tuning, benchmarking, and synthetic data pipelines — and the leadership skills to own this domain for Everstar. If you read ML papers for fun, spend weekends on Hugging Face, and get fired up about prompt design and guardrails, you’re who we want. This isn’t just about benchmarks. The work you do will directly accelerate nuclear deployment, creating a virtuous cycle : Nuclear unlocks the energy needed for advanced AI (AGI, ASI). AI accelerates the deployment of nuclear by solving regulatory bottlenecks. And unlike most industries, the tokens you generate translate into safer infrastructure and a better world. 🔥 What’s at Stake If We Succeed: We unleash nuclear energy at scale, powering the AI revolution while cutting licensing timelines from years to months. The models you build help society leap forward toward AGI in a sustainable, safe way. If We Fail: Nuclear stays bottlenecked, AI’s energy demand outpaces clean supply, and we miss the window to align technological progress with climate survival.

Requirements

• Multiple years of production ML/LLM experience (fine‑tuning, RAG, evals)
• Mastery of Hugging Face, LangChain, vector DBs, and modern LLM ops
• Experience designing and running eval suites with rigor
• Leadership skills: able to set direction, own outcomes, and mentor others

Nice To Haves

• published research
• open‑source contributions
• deep familiarity with cutting‑edge ML papers

Responsibilities

• Build and deploy production‑ready LLM agents for Gordian Search, Research, and Compose
• Design eval frameworks and benchmarking pipelines ensuring high‑fidelity outputs
• Lead synthetic data generation and fine‑tuning pipelines for regulated environments
• Collaborate with fullstack engineers and nuclear experts to deliver reliable AI products
• Push into future domains (vision models, physics models, robotics)

Benefits

• Top of market salary + equity
• Health insurance, wellness stipend, and education support
• Work IRL with a high‑caliber, wartime team in New York
• Build the intelligence layer that will accelerate nuclear energy and shape the AI future

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed