Anyone AI is recruiting skilled software engineers to work on a project with a leading AI lab. Qualifications: - Advanced professional written proficiency in English - 3–7 years of professional software engineering experience - Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go - Backend or full‑stack development experience in production systems - Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) - Proven ability to debug and navigate large, multi‑file codebases - Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances). Responsibilities: Contributors will: - Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing - Write clear natural-language specifications and reference implementations - Develop and extend unit and integration test suites - Review peer-generated tasks for correctness, clarity, and realism - Identify edge cases, ambiguities, and potential failure modes - Ensure alignment between specifications, code, and expected outputs Expected Outcomes: - High-quality, production-realistic coding tasks - Complete and correct reference implementations - Robust test coverage and validation artifacts - Structured, actionable peer review feedback

Anyone AI is recruiting skilled software engineers to work on a project with a leading AI lab. Qualifications: - Advanced professional written proficiency in English - 3–7 years of professional software engineering experience - Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go - Backend or full‑stack development experience in production systems - Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) - Proven ability to debug and navigate large, multi‑file codebases - Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances). Responsibilities: Contributors will: - Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing - Write clear natural-language specifications and reference implementations - Develop and extend unit and integration test suites - Review peer-generated tasks for correctness, clarity, and realism - Identify edge cases, ambiguities, and potential failure modes - Ensure alignment between specifications, code, and expected outputs Expected Outcomes: - High-quality, production-realistic coding tasks - Complete and correct reference implementations - Robust test coverage and validation artifacts - Structured, actionable peer review feedback

• Create, develop, and maintain a responsive and user-centric web app with React/NextJS, TypeScript, and Jotai. • Own new features, improve existing features, and take initiative in the iterative development process of the company's products • Implement best practices to maintain the app’s fast and responsive performance, especially on mobile devices. • Tackle complex challenges with effective, innovative solutions that enhance user experience. • Ensure clean, maintainable, and well-documented code, contributing to a sustainable development environment. • Support the integration of real-time data and enhance user interactions for trading functionalities.

• Design and build Generative AI applications, including LLM integrations, prompt engineering, and retrieval-augmented generation (RAG) pipelines • Develop clean, efficient, and reusable code across off-the-shelf, semi-custom, and fully custom AI platforms • Integrate AI capabilities into internal systems and customer-facing applications • Evaluate and optimize AI system performance, ensuring accuracy, reliability, and responsible usage • Implement monitoring, logging, and feedback loops for AI systems in production • Collaborate with cross-functional stakeholders to translate business needs into scalable technical solutions • Contribute to system design and architecture with a focus on performance, scalability, and security • Troubleshoot issues, resolve bugs, and support escalated production incidents as needed • Participate in code reviews and promote engineering best practices across the team • Contribute to sprint planning, backlog refinement, and retrospectives to continuously improve team delivery • Document code, systems, and processes to ensure maintainability and knowledge sharing • Demo and communicate solutions effectively to technical and non-technical stakeholders • This role is primarily focused on development (approximately 70–80%), with some responsibility for production support during high-priority or escalated events.