Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability. Required Skills and Qualifications: Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust. Deep understanding of algorithms, data structures, and performance tuning. Demonstrated experience in debugging complex software issues and delivering maintainable solutions. Strong background in feature development and codebase refactoring. Proven ability to optimize software for performance and scalability. Exceptional written and verbal communication skills, with a keen attention to detail. Track record of success in collaborative, cross-functional teams, ideally in remote settings. Preferred Qualifications: Previous experience working on large-scale, distributed codebases. Familiarity with modern AI or machine learning systems is a plus, though not required. Background in participating in rigorous code reviews and contributing to the development of software best practices.

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.