AI Practice Intern

Job Description:

Responsibilities

• Build agentic AI applications that solve real business problems
• Design and implement RAG systems, multi-LLM pipelines, and tool-use architectures
• Develop, test, and deploy production-grade APIs and backend services
• Benchmark and evaluate LLM outputs for accuracy, cost, and latency
• Contribute to internal AI frameworks and reusable component libraries
• Participate in architecture reviews and client solution design

Qualification & Experience

• Must have: Strong Python — data structures, APIs, async programming
• Must have: Fundamentals of ML, NLP, and Generative AI
• Good to have: Java (Core + Advanced), FastAPI/Flask, Docker basics
• Mindset: Strong problem-solving, curiosity to go deep, bias for building over reading
• Eligibility
• B.Tech / BE (CSE / IT) — 2025 or 2026 graduates
• Minimum 70% aggregate