Founding Engineer

Responsibilities:

• Work directly with founders across engineering, product, and operations to define priorities and execution strategy.
• Own and scale core backend infrastructure powering Theta's data platform manages cloud compute, optimizes workers, and solves hard systems problems daily.
• Tackle research-grade engineering challenges at the intersection of AI, agents, and data pipelines, implementing new model harnesses and staying ahead of the frontier.
• Build and improve internal tooling and workflows that maintain high-fidelity, high-quality data output at scale.
• Work directly alongside founders to define technical priorities and drive execution with minimal oversight.
• Bring engineering maturity and hard-earned instincts to a small, fast-moving team raising the bar for how problems are scoped and solved.
• Understand domain workflows and translate them into agent training environment tasks.

Requirements:

• 3-7 years of experience at a deeply technical company (e. g., AI/ML-focused team at a top-tier startup or FAANG) where you've been solving infrastructure problems most engineers haven't encountered.
• Strong backend infrastructure background: cloud compute management, distributed systems, worker optimization, and scaling platforms under real load.
• Hands-on experience with AI/ML systems, whether on an agent, post-training, or ML infra team or building ML-adjacent infrastructure (not recommendation systems, ad ranking, or traditional ML pipelines).
• Genuine, innate interest in the AI tooling landscape: you follow new model releases, harnesses, and frameworks closely and move fast to apply them.
• High autonomy and scrappiness: You thrive in ambiguous, fast-moving environments and don't need hand-holding to ship.