You will lead the design and development of core AI systems at Terranox AI, turning complex geoscience data into trusted discovery pipelines. Working with a small, high-velocity team, you’ll build multi-agent reasoning systems and rigorous evaluation frameworks that directly inform drilling decisions for critical uranium deposits across North America.
Lead AI Engineer at Terranox AI
Join Terranox AI (YC W26) as their Lead AI Engineer to build the intelligence layer for uranium discovery. Working directly with founders from NASA and geophysics PhD backgrounds, you’ll design production LLM pipelines and multi-agent systems that inform critical energy drilling decisions. If you're a senior engineer ready to apply frontier AI to the real-world energy transition in San Francisco, this high-equity role is your chance to lead a core engineering function from the ground up.
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Location
San Francisco, United States
Compensation
$175k-$275k + Equity
Company
Terranox AI
Role overview
We’re the first AI-powered uranium discovery company. Nuclear is the only clean, scalable, and baseload energy source available today, and we’re structurally short on uranium. We’re addressing that by applying AI/ML to a discovery process that hasn’t fundamentally changed in decades.
What you will do
- Design and ship production-grade multi-step reasoning pipelines and multi-agent systems using frontier models and tool-use orchestration.
- Build and optimize complex retrieval systems capable of indexing and reasoning over large, messy, and heterogeneous scientific data sources.
- Develop rigorous LLM-as-judge evaluation frameworks to ensure model reliability where ground truth is difficult to obtain.
Who this is a fit for
- Has 4+ years of software engineering experience with at least 2 years specifically building and scaling production-level LLM systems.
- Demonstrates deep expertise in Python and SQL, with a proven track record of designing large-scale data and agent-based pipelines.
- Possesses the ability to collaborate with non-engineering domain experts, such as geologists, to frame and solve highly ambiguous technical problems.
Why this role is remarkable
- This is a high-ownership role where your AI systems directly dictate multi-million dollar drilling decisions and the discovery of critical energy resources.
- You will work at the intersection of frontier LLMs and physical science, solving unique technical challenges like retrieval over heterogeneous, decades-old scientific corpora.
- Join a YC-backed team led by a geophysics PhD and a former NASA JPL engineer, positioning you at the forefront of the AI-driven energy transition.
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