Software Engineer – AI Evaluation & Data Infrastructure

Series A | Fully Remote | LATAM

About the Company

A post-Series A AI infrastructure company building the training data and evaluation infrastructure that frontier AI labs use to improve their models. The company partners with the world's leading AI labs to design high-signal datasets and run rigorous evaluations that go beyond static benchmarks. Small, early team where individual contributors have direct impact on how the next generation of models learns and improves. Hockey-stick growth trajectory — operates like the best quant shops and early-stage startups combined.

Series A | 11-50 employees | Founded 2025

About the Role

You'll have end-to-end ownership over projects pushing the frontier of AI evaluation — full-stack and platform engineering including building human-in-the-loop platforms, fraud detection systems, scaling data infrastructure, and designing annotator workflows. You'll work directly with frontier AI labs and see model capabilities months before the market.

What You'll Own

• Design and build scalable systems for the core platform
• Collaborate across research, product, and design to ship features quickly without sacrificing quality
• Write clean, maintainable code and contribute to documentation
• Participate in code reviews and design discussions
• Solve real-world scalability and reliability challenges
• Contribute to core infrastructure powering data and evaluation for the world's leading AI labs

What We're Looking For

Must Have

• Strong coding fundamentals in Node.js and TypeScript, Python, and/or Go
• Deep understanding of distributed systems, scalability challenges, and system design
• Familiarity with cloud platforms such as GCP or AWS, Kubernetes, APIs, and NoSQL databases
• Ability to reason about trade-offs and balance speed versus reliability under pressure
• Active GitHub with real projects — must be a builder at heart
• Works autonomously and collaboratively without burning out under heavy load
• Proactive, identifies problems and drives solutions without being told to
• High-output and high-accountability mindset
• Strong bias toward delivering simple solutions to complex problems
• 5+ years of engineering experience

Nice to Have

• Background as a founding engineer at a high-growth startup
• Ex-founder of a technically sophisticated product
• Has trialed or succeeded in past fast-paced startup roles with strong references