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Intern Generative / Agentic AI

Intern Generative / Agentic AI

Tecnod8.AIIndia, India
8 days ago
Job description
  • Stipend : INR 20,000 Per Month
  • Location : Remote / Hybrid
  • Duration : 3–6 months (extendable)
  • Scope for Full time opportunity post internship
  • About Tecnod8.AI

    Tecnod8.AI is an early stage, full stack Agentic AI Startup. We are building a core AI Engine for Industrial Engineering. Tecnod8.AI is supported by Maruti Suzuki Accelerator, FITT-IIT Delhi, NASSCOM GenAI Foundry, IIT Mandi Catalyst and iHub & IIM Bangalore NSRCEL.

    Role Overview

    Work on building production-grade Gen AI and agentic AI applications. Opportunity to contribute to LLM development in later phases.

    Role :

    • Develop and deploy Gen AI applications using modern LLM frameworks
    • Build agentic AI systems with multi-step reasoning and tool use
    • Design and implement RAG (Retrieval Augmented Generation) pipelines
    • Optimize prompts and fine-tune models for specific use cases
    • Work on LLM evaluation, testing, and performance monitoring
    • Required Skills

      Mandatory :

    • Strong Python programming (3+ personal / academic projects)
    • Experience with LLM APIs (OpenAI, Gemini, or open-source models)
    • Understanding of context / prompt engineering and LLM limitations
    • Familiarity with vector databases
    • Git version control
    • Tech Stack :

    • LLM Frameworks : LangChain, LlamaIndex, or Haystack
    • Vector DBs : Pinecone, Weaviate, ChromaDB, or FAISS
    • ML Libraries : PyTorch or TensorFlow (basics)
    • APIs : OpenAI, Anthropic Claude, HuggingFace
    • Tools : Docker (basic), REST APIs
    • Preferred :

    • Knowledge of transformer architecture and attention mechanisms
    • Experience with fine-tuning LLMs (LoRA, PEFT)
    • Understanding of agent frameworks (AutoGPT, LangGraph, CrewAI)
    • Familiarity with embedding models and semantic search
    • Prior Gen AI projects or hackathon participation
    • Qualifications

    • Currently pursuing B.Tech / M.Tech in CS / AI / ML or related field
    • Final year or pre-final year preferred
    • Strong problem-solving and self-learning ability
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