Software Engineer - Backend

What You'll Do8

• Create realistic coding tasks for AI models, drawn from repositories you are familiar with.
• Design problems that require genuine engineering skill, such as tracking down subtle bugs, implementing non-trivial features, or making meaningful performance improvements.
• Build a reproducible environment for each task.
• Write deterministic verifiers that accept correct solutions across different valid implementations while rejecting incorrect, incomplete, or hard-coded approaches.
• Provide a reference solution that demonstrates how the task can be solved.
• Flag tasks that are ambiguous or unverifiable instead of submitting them.
• Ensure each task is solvable within the estimated time (5 hours for trainers, 1.5 hours for reviewers).
• Collaborate with the team to refine task specifications and verifiers as needed.

Requirements8

• Hands-on expertise in at least one of: Python3, Java, Rust, Go, C++, or TypeScript.
• Deep understanding of algorithms, data structures, and software engineering principles.
• Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
• Experience with large codebase refactoring and legacy system modernization.
• Track record of delivering high-impact features from conception through delivery.
• Strong documentation and communication skills to articulate technical concepts clearly.
• Interest in AI and its technical challenges; previous AI experience is not required.
• Ability to work independently and manage time effectively in a remote, project-based setting.

Who Should Apply

Backend engineers with deep expertise in at least one of Python, Java, Rust, Go, C++, or TypeScript, who enjoy crafting challenging coding problems and have a strong grasp of algorithms and debugging. You should be comfortable working independently and documenting your work clearly.

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