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

•        LangChain: 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