Software Engineer, Agents
Design and build agentic systems for AI-native video creation, integrating LLMs and evaluation frameworks to power creative workflows. Requires 5+ years building ML/agentic systems in production.
Software Engineer
Build simulation environments, tasks, and verifiers to train and evaluate long-horizon autonomous AI agents using reinforcement learning. Requires strong engineering fundamentals, high agency, and focus on robust systems.
San Francisco, CAML EngineeringRemote
About the role
Responsibilities
- Build diverse, high-fidelity environments that test agents in realistic settings
- Design complex tasks that require long-horizon reasoning and tool use
- Develop robust verifiers that reliably measure agent performance
- Improve infrastructure and tooling to run, debug, and improve environments
- Work closely with the research team to identify failure modes and turn them into new tasks and benchmarks
Requirements
- Strong engineering fundamentals
- Enjoy building from first principles and solving open-ended technical problems
- High agency and a strong bias toward shipping
- High quality bar and care about building robust systems
Skills
Reinforcement LearningSimulation EnvironmentsPythonInfrastructureToolingDebuggingVerifiersBenchmarks
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