greenhouse
Software Engineer, Infrastructure & Platform
10a Labs
Remote, USA
Full-time
Mid · 3+ years experience
Remote
USD 110000-160000 yearly / year
Discovered 2 weeks ago
PythonDockerKubernetesAWSGCPLinux
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Role Overview
We are seeking a Software Engineer, Infrastructure & Platform to build the systems and infrastructure that power advanced AI evaluations, including evaluations focused on autonomous model behavior, agentic systems, and loss-of-control risks.
This is a hands-on engineering role at the intersection of backend systems, infrastructure, and AI. You will build secure and reproducible environments where frontier models can interact with tools, execute code, complete complex tasks, and operate across realistic multi-step workflows, including machine learning research and engineering.
The ideal candidate has strong backend and infrastructure fundamentals, enjoys debugging complex distributed systems, and is excited to apply those skills to difficult problems in AI safety and evaluation.
Key Skills for This Role
PythonDockerKubernetesAWSGCPLinux
Full Job Posting
About the Role
We are seeking a Software Engineer, Infrastructure & Platform to build the systems and infrastructure that power advanced AI evaluations, including evaluations focused on autonomous model behavior, agentic systems, and loss-of-control risks.
This is a hands-on engineering role at the intersection of backend systems, infrastructure, and AI. You will build secure and reproducible environments where frontier models can interact with tools, execute code, complete complex tasks, and operate across realistic multi-step workflows, including machine learning research and engineering.
The ideal candidate has strong backend and infrastructure fundamentals, enjoys debugging complex distributed systems, and is excited to apply those skills to difficult problems in AI safety and evaluation.
What You'll Do
Design and build sandboxed evaluation environments where AI models can safely execute code, use tools, interact with services, and complete complex tasks.
Build backend services and infrastructure supporting large-scale, repeatable AI and agentic evaluations.
Develop agent scaffolding and evaluation harnesses, including tool-use loops, context management, retries, state management, token budgets, and multi-agent or subagent workflows.
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