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Responsibilities:
- Design and build sandboxed evaluation environments where AI models can safely execute code, use tools, 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, and multi-agent workflows.
Requirements:
- 3–5+ years of professional software engineering experience in backend, infrastructure, or distributed systems.
- Strong programming skills in Python and experience with Docker, Kubernetes, and AWS.
- Comfort working on ambiguous technical problems and debugging across application and infrastructure layers.
Benefits:
- Comprehensive health, dental, and vision coverage.
- Generous PTO and paid holiday schedule.
- Performance-based annual bonus and 401(k) plan.
10a Labs
10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. The company focuses on adversarial red teaming and model evaluations to help teams deploy AI systems safely.