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AI Practice Intern

Job Description - 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



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