Designing realistic, challenging software engineering tasks drawn from real-world work, including but not limited to: feature changes in large codebases debugging and root-cause analysis code review system design and architecture decisions codebase Q&A technical documentation and planning Writing clear task proposals that explain why each task is realistic, how it is verified and what makes it hard for current AI models Illustrating "what good looks like" by writing reference solutions, tests and precise, task-specific criteria covering correctness, architecture, maintainability, style and scope Assessing AI-generated code and engineering work, and working alongside AI coding agents to judge where they succeed and fail Applying consistent, evidence-based judgment so that assessments are reproducible and defensible Taking structured feedback from senior reviewers and iterating on submitted work Ideal Profile 4+ years of professional software engineering experience in one of these settings: A leading technology or quantitative firm (such as FAANG+, Magnificent 7+, top-tier quant funds or equivalent) with a Mid-senior level title. Machine Learning, Infrastructure, Data, Security and Quant Developer engineering roles may also qualify. A top financial institution (a leading bank, hedge fund or trading firm), working as a software engineer A high-growth technology company that is a household name, with a senior-level title Experience may be split across more than one qualifying employer Strong command of at least one major language (such as Python, Java, C++, Go, TypeScript or Rust), along with system design, testing, debugging and code review Proven ability to work in large, complex production codebases and to judge code quality beyond "it passes the tests" Excellent written English, including the ability to explain technical decisions and trade-offs clearly Bachelor's degree from an English-speaking country A detail-oriented, consistent approach to evaluating complex work Comfortable receiving feedback and calibrating judgment against set standards

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.