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
