About this role
Job title: Senior Software Engineer - Reinforcement Learning Environments
About the Role We are engaging expert Senior Software Engineers to support an innovative project that trains next-generation AI systems. You will apply your domain knowledge to help models learn, reason, and perform through high-quality, real-world input. You will create Reinforcement Learning Environments to test an AI model's ability to fix code, create features, refactor code, and optimize performance, and you will build a reproducible environment and golden reference solution.
What You'll Do
- Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript.
- Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases.
- Implement robust new features ensuring scalability, maintainability, and best practices.
- Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability.
- Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality.
- Review and validate peer-contributed code and technical submissions for accuracy and clarity.
What We're Looking For
- Significant 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 within cross-functional projects.
- Strong documentation and communication skills to articulate technical concepts clearly.
- Interest in or curiosity about AI and its technical challenges.
Nice to Have
- Interest in or curiosity about AI and its technical challenges.