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
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Claude (Anthropic): Advanced prompt engineering, tool use, agentic workflows, enterprise API integration
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LangChain: RAG pipelines, multi-agent orchestration, memory management, chain design
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Ollama: Local LLM deployment, model fine-tuning, on-premise enterprise setups
What You Will Do
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Build agentic AI applications that solve real business problems
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Design and implement RAG systems, multi-LLM pipelines, and tool-use architectures
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Develop, test,
and deploy production-grade APIs and backend services
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Benchmark and evaluate LLM outputs for accuracy, cost, and latency
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Contribute to internal AI frameworks and reusable component libraries
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Participate in architecture reviews and client solution design
Skills Required
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Must have: Strong Python — data structures, APIs, async programming
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Must have: Fundamentals of ML, NLP, and Generative AI
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Good to have: Java (Core + Advanced), FastAPI/Flask, Docker basics
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Mindset: Solid problem-solving, curiosity to go deep, bias for building over reading
Eligibility
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B.Tech / BE (CSE / IT) — 2025 or 2026 graduates
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Minimum 70% aggregate
Selection Process
1. Written Test — Logic + Coding + AI Fundamentals
2. Communication round
3. Technical Interview — Problem-solving + AI aptitude
📌 AI Practice Intern (India)
🏢 Truviq Systems
📍 India
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