Senior Software Engineer

Responsibilities

• Create expert-level Reinforcement Learning environments that evaluate AI models on real-world software engineering challenges.
• Develop reproducible environments and reliable golden reference solutions for assigned tasks.
• Contribute expert code samples, debugging strategies, and development insights across supported programming languages.
• Analyze, troubleshoot, and resolve complex software defects across diverse codebases.
• Implement robust features with a focus on scalability, maintainability, and software engineering best practices.
• Refactor legacy code to improve clarity, efficiency, maintainability, and long-term reliability.
• Optimize software performance and identify bottlenecks across complex systems.
• Document technical reasoning, solution approaches, and implementation decisions to support high-quality AI training data.
• Review and validate peer-contributed code and technical submissions for accuracy, quality, and clarity.
• Ensure assigned tasks meet project specifications and established technical standards.

Required Qualifications

• Significant hands-on expertise in at least one of Python 3, Java, Rust, Go, C++, or TypeScript.
• Strong understanding of algorithms, data structures, and software engineering principles.
• Proven ability to debug complex systems and resolve challenging software defects.
• Experience implementing and delivering production-quality software features.
• Ability to optimize code and address performance bottlenecks.
• Experience working with large codebases and performing meaningful refactoring.
• Strong understanding of maintainable, scalable, and reliable software design.
• Excellent technical documentation and communication skills.
• Ability to work independently in a remote environment.

Preferred Qualifications

• Experience with multiple programming languages from the supported technology stack.
• Experience modernizing legacy systems and performing large-scale codebase refactoring.
• Track record of delivering high-impact features from conception through implementation.
• Experience working on cross-functional software engineering projects.
• Strong ability to explain technical decisions and debugging approaches clearly.
• Interest in AI, Reinforcement Learning, or AI-assisted software engineering.
• Previous AI experience is beneficial but not required.