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.
• Claude (Anthropic): Advanced prompt engineering, tool use, agentic workflows,
enterprise API integration
• LangChain: RAG pipelines, multi-agent orchestration, memory
management, chain design
• Ollama: Local LLM deployment, model fine-tuning, on-premise
enterprise setups
• 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
• 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
• B.Tech / BE (CSE / IT) —
2025 or 2026 graduates
• Minimum 70% aggregate
1. Written Test — Logic
+ Coding + AI Fundamentals
2. Communication round
3. Technical Interview —
Problem-solving + AI aptitude