AI Native Java Developer Hiring Hackathon
Zycus Infotech · Mumbai
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Employer requisition: J6SELD46X
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Collected role description
Become An AI Native Engineer- Build real systems with AI. Compete with Top Developers. Get Hired We are launching a high-intensity hiring challenge to identify the next generation of AI Native Java Developers — engineers who don’t just write code, but know how to collaborate with AI to build production-grade systems faster and smarter. If you use tools like Cursor, GitHub Copilot, Claude, ChatGPT, Windsurf, or other AI coding assistants as part of your daily workflow, this hiring drive is designed for you. Build with AI. Code with Speed. Get Hired. “A modern engineering hiring experience designed for AI-native developers.” What we are looking for? We are hiring developers who can: Build scalable backend systems using Java Use AI coding assistants effectively Review, debug, and improve AI-generated code Think architecturally, not just syntactically Move fast while maintaining engineering quality Work like modern AI-first software engineers This is not a traditional coding test. This is a real-world AI engineering challenge. Hiring Process: Stage 1 - HR + Technical Screening Interview Shortlisted candidates will attend an initial screening discussion. This includes: Candidate background discussion AI coding workflow discussion Live code review exercise GitHub profile review Communication and problem-solving evaluation We are specifically evaluating: How you think How you review code How you use AI tools effectively Stage 2 - AI Native Hackathon The Challenge Top 20 candidates will be invited for an in-person hackathon where they will build a working software system within 5 hours. (Details will be emailed to the shorlisted candidates) Important: Candidates must bring: Their own laptop Their preferred development setup Active AI coding assistant tools (Cursor, Copilot, etc.) We intentionally want candidates working in their own environment because modern engineering productivity depends on developer tooling mastery. What We Will Evaluate This is NOT just about writing code manually. We want to observe: How you collaborate with AI Prompt engineering for development Speed of implementation Architecture decisions Debugging capability AI-generated code validation Engineering judgment Git discipline Product thinking Submission Process At the end of the hackathon: Candidates will upload their code to GitHub Share a public repository link Submit implementation notes and approach Our engineering and AI review systems will evaluate: Code quality AI usage patterns System design Maintainability Production readiness Final Technical Discussion Top candidates will then participate in a final engineering interaction focused on: Architecture choices AI-assisted development approach Tradeoffs and scalability Debugging walkthrough Ownership mindset Why This Hiring Model Is Different Traditional hiring tests memory. We want to test modern engineering capability. The best engineers today: Use AI effectively Move rapidly Validate intelligently Build efficiently Think critically This hiring challenge is designed to identify exactly those engineers.
Collected experience requirement
2-8 Years