Find the talent to win the AI race

Today’s AI-first companies need more than resume screens and multiple-choice quizzes. HackerRank goes beyond theory to test candidates on actual, project-based work that mirrors the demands of modern AI development.

Skills you can only get on HackerRank

• Prompt Engineering: Evaluate how candidates craft effective, secure, and context-aware prompts.
  
• Retrieval-Augmented Generation (RAG): Simulate real-world tasks that require integrating retrieval techniques with generative models.
  
• Fine-Tuning & Model Customization: Identify talent capable of refining LLMs for specific use cases—critical for proprietary applications.‍
• AI-in-the-Loop Coding: Assess a candidate's ability to collaborate with AI tools like GitHub Copilot, ChatGPT, or Claude to accelerate development.

AI product companies and labs receive thousands of applications for a single role. HackerRank lets you scale efficiently, surfacing only the most capable talent:

• Auto-Graded Code Projects: Evaluate actual deliverables, from ML pipelines to GenAI prototypes.
  
• Proctoring + Plagiarism AI: Maintain rigor while automating quality assurance.‍
• Bulk Screening with Smart Ranking: Use AI to triage applications based on skill, not guesswork.

Code repositories come with a built-in AI assistant, just like today’s developers use in their daily workflows. This allows hiring managers to evaluate how candidates interact with AI tools, offering a clear picture of their ability to integrate these technologies productively.