
Eligibility Criteria
Graduates or final‑year students of B.Tech/B.E., M.Tech, B.Sc Computer Science, Information Technology or related streams. Minimum CGPA/percentage 60% (or equivalent). Must belong to the 2025‑2027 graduating batch. No active backlogs at the time of application. Open to Indian residents only; participants must have a stable internet connection for the 24‑hour challenge.

Job Description & Key Responsibilities
HackerRank, a global leader in technical assessment and upskilling platforms, has built a reputation for connecting millions of developers with top‑tier tech companies. Founded in 2009, the company offers a suite of products that enable enterprises to evaluate coding skills, conduct remote interviews, and foster continuous learning. With offices across the United States, Europe and India, HackerRank prides itself on a data‑driven culture, a strong emphasis on engineering excellence, and a mission to democratise access to high‑quality technical jobs. The firm’s work environment encourages experimentation, rapid prototyping and collaboration across product, data science and AI teams.
The Orchestrate Hackathon is an intensive 24‑hour challenge that pushes participants to design, build and defend an AI‑driven support agent capable of handling real‑world tickets for HackerRank, Anthropic Claude and Visa. Participants receive a problem statement at 6:00 PM IST on September 12, 2026, and must submit their complete solution—including code, agent output and AI chat transcript—within 24 hours. After submission, a 30‑minute live interview with an AI judge evaluates the architecture, decision‑making logic and trade‑offs. The event culminates in a live evaluation period (September 14‑17) and prize announcements on September 18.
Key responsibilities for participants include:
1. Analysing the provided real‑world support scenario and defining clear success criteria.
2. Designing an end‑to‑end agent pipeline that incorporates retrieval‑augmented generation, risk gating and escalation logic.
3. Implementing prompt engineering strategies for multiple LLM providers (Claude, Codex, Groq, NVIDIA NIM, Gemini, etc.).
4. Building deterministic fallback mechanisms to avoid hallucinations.
5. Integrating external tools such as code editors (Cursor, Claude Code) and version control.
6. Writing clean, modular code (preferably in Python or Node.js) with comprehensive logging.
7. Conducting thorough testing on a curated support corpus to ensure zero‑hallucination performance.
8. Preparing a concise architecture walkthrough and defending design choices during the AI judge interview.
9. Documenting the solution for future reproducibility and potential recruitment follow‑up.
10. Collaborating with peers in a virtual environment, sharing insights and learning from diverse approaches.
The tech stack is intentionally open: participants may use any language, framework or AI service, though many opt for Python, LangChain‑lite alternatives, REST APIs, vector stores (FAISS, Pinecone) and containerisation (Docker). Successful participants gain exposure to cutting‑edge agentic AI, receive cash prizes, Codex credits, and direct interview opportunities with leading tech firms. Joining this hackathon offers a unique platform to showcase practical AI engineering skills, network with industry experts, and potentially secure full‑time roles at HackerRank or partner companies.
Growth path: top performers are often fast‑tracked into internship or full‑time roles within HackerRank’s AI product teams, where they can work on large‑scale assessment platforms, contribute to next‑generation LLM integrations and influence product strategy. The experience also bolsters a candidate’s portfolio, making them attractive to other AI‑focused startups and enterprises.