Intern Generative/ Agentic AI

0 years

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Posted:6 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

  1. Stipend: INR 20,000 Per Month

  2. Location: Remote / Hybrid

  3. Duration: 3–6 months (extendable)

  4. 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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