About the role
Deeptune builds training gyms for AI agents: high-fidelity simulation environments where AI learns to do real work through reinforcement learning. We work with leading AI labs to train next-generation agentic models, contributing to breakthroughs in computer use, code generation, and multi-step task completion. We are a ~20-person team of engineers and operators from Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool, based in New York City, and recently raised a $43M Series A led by Andre
Requirements
You are a strong developer across backend and infrastructure (Python, Go, TypeScript, etc.) with a deep interest in agentic AI. We care more about what you have done, not how long you have been doing it. You have been a founding engineer, founded your own company, or had a major impact at a top-tier company, and are ready to join an early-stage team. You are motivated by ownership, impact, and building frontier tech. Your work is a craft you want to master. You thrive in ambiguity and love hard
About the company
Deeptune
Deeptune provides AI training gyms, simulation environments that allow AI agents to practice and improve their skills on realistic software tasks. Their solution integrates seamlessly, offering pre-built environments mimicking popular applications like Slack and Salesforce, complete with problems, datasets, and infrastructure. This enables frontier research labs to accelerate AI development and performance.
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