Note: The job is a remote job and is open to candidates in USA. 24-MAG LLC makes this remote consulting opportunity available through its professional-opportunity platform. The Software Engineer will develop and validate realistic software engineering tasks, reinforcement-learning environments, and reference solutions for evaluating AI systems, while contributing code, debugging, refactoring, and performance optimization.

Responsibilities

• Contribute expert-level code and technical solutions in Python3, Java, Rust, Go, C++, TypeScript, or comparable languages
• Work across realistic production-style codebases and software engineering scenarios
• Implement robust new functionality while considering scalability, maintainability, and software quality
• Apply sound algorithms, data structures, and engineering principles to complex development tasks
• Produce solutions that can be reproduced and independently validated
• Analyse and resolve complex software defects across diverse codebases
• Identify root causes of bugs, incorrect behaviour, and system failures
• Diagnose performance bottlenecks and inefficient implementation patterns
• Develop technically rigorous fixes rather than superficial workarounds
• Address edge cases and validate that solutions behave correctly across relevant conditions
• Refactor legacy or complex code to improve readability, maintainability, and reliability
• Identify architectural or implementation weaknesses that limit long-term scalability
• Optimise software performance while preserving correctness
• Evaluate trade-offs between performance, complexity, maintainability, and development effort
• Modernise existing code where appropriate without introducing unnecessary regressions
• Create reinforcement-learning environments that test AI systems on complex software engineering tasks
• Develop reproducible problem environments and corresponding golden reference solutions
• Design tasks involving bug fixing, feature implementation, refactoring, and performance optimisation
• Document technical reasoning, implementation decisions, and validation methodology clearly
• Review and validate peer-contributed code and technical submissions for correctness, clarity, and reproducibility

Skills

• 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 fundamentals
• Proven ability to debug complex systems and resolve technically challenging defects
• Strong experience implementing production-quality features
• Experience with performance optimisation and technical bottleneck analysis
• Track record of delivering meaningful features from design through implementation
• Strong ability to reason about code correctness, edge cases, maintainability, and system behaviour
• Excellent technical documentation and communication skills
• Ability to review other engineers' code and explain technical concerns precisely
• No prior experience in AI training is required
• Background in large-codebase refactoring or legacy-system modernisation is advantageous
• Interest in AI systems and technical evaluation is beneficial

Benefits

• Fully remote

Company Overview