AI Practice Intern

Why This Role Truviq is building a dedicated AI practice from the ground up. As an intern, you won’t shadow—you’ll ship. You’ll work hands-on with three core technology stacks to build production-ready AI systems for enterprise clients. Technology Focus

• Claude (Anthropic): Advanced prompt engineering, tool use, agentic workflows, enterprise API integration
• Lang. Chain: RAG pipelines, multi-agent orchestration, memory management, chain design
• Ollama: Local LLM deployment, model fine-tuning, on-premise enterprise setups What You Will Do
• 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 Skills Required
• 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 Selection Process

1. Written Test — Logic + Coding + AI Fundamentals
2. Communication round
3. Technical Interview — Problem-solving + AI aptitude