Software Engineering Expert

Weekday AI is a pioneering company focused on building the next generation of evaluation benchmarks for frontier AI models. They are seeking experienced Software Engineers to design and validate sophisticated engineering tasks that mirror real-world software development challenges.

Responsibilities:

• Design realistic, multi-step software engineering challenges based on practical development workflows, including implementation, debugging, system configuration, testing, and documentation
• Develop comprehensive reference solutions in Python, ensuring each task is reproducible, verifiable, and supported by appropriate validation checks
• Leverage AI coding assistants as part of your development workflow while evaluating their strengths, limitations, and failure modes on complex engineering tasks
• Review benchmark tasks created by fellow experts, providing detailed feedback on technical correctness, clarity, completeness, and level of difficulty
• Analyze AI-generated solutions to identify implementation errors, debugging challenges, reasoning gaps, and opportunities for improving benchmark quality
• Collaborate closely with AI researchers and engineering teams to refine evaluation methodologies and maintain consistently high technical standards

Requirements:

• Master's degree, PhD, or equivalent practical experience in Computer Science, Software Engineering, or another STEM discipline involving substantial programming and technical problem solving
• Minimum 1 year of professional experience in software engineering, research engineering, applied research, or another technically intensive engineering role
• Strong hands-on proficiency in Python, including software design, scripting, debugging, testing, and writing clean, maintainable code
• Solid experience using Git, integrated development environments (IDEs), and modern software development workflows
• Strong understanding of software architecture, debugging methodologies, and engineering best practices
• Excellent analytical thinking, creativity, attention to detail, and the ability to solve complex, open-ended technical problems independently
• Strong written communication skills for documenting technical solutions and engineering decisions
• Ability to commit approximately 35 hours per week on a consistent basis
• Experience developing complex software systems across backend, infrastructure, automation, or developer tooling
• Familiarity with large language models, AI-assisted software development, or autonomous coding agents
• Background in benchmark design, software quality engineering, or technical evaluation frameworks
• Contributions to open-source projects, technical publications, or advanced engineering initiatives