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AI / ML Intern (LLMs & Agent Systems)

AI / ML Intern (LLMs & Agent Systems)

ConfidentialBengaluru / Bangalore, India
1 day ago
Job description

Location : Bangalore, India (On-site)

Department : AI / ML

Type : Internship (3–6 months, with extension or full-time conversion opportunity)

About Us

We're an AI / ML research-driven team focused on building intelligent AI Agents and RAG-based systems for real-world applications in finance, business, and personal assistance.

Our work combines applied research and fast-paced product development to create powerful, modular AI systems that think, reason, and act.

About the Role

As an AI / ML Intern, you'll work closely with our core AI / ML team on projects involving LLMs, retrieval systems, and agentic reasoning.

You'll contribute to experiments, data preparation, model evaluation, and prototype development, gaining exposure to both research concepts and production-level AI systems.

Responsibilities

  • Assist in building and evaluating LLM- and agent-based pipelines (RAG, reasoning, tool use, etc.).
  • Conduct small-scale experiments and contribute to prompt design and prompt evaluation.
  • Help integrate LLMs with APIs, databases, and internal tools.
  • Explore and document recent AI agent frameworks and LLM techniques.
  • Collaborate with backend engineers to test and deploy prototypes.

Required Skills

  • Strong foundations in Machine Learning and Deep Learning concepts.
  • Good understanding of LLM fundamentals - tokenization, embeddings, attention, context, etc.
  • Some exposure to Prompt Engineering and reasoning patterns like Chain of Thought or ReAct.
  • Experience in Python and libraries like PyTorch, NumPy, Pandas.
  • Familiarity with Git / GitHub for version control.
  • Curiosity and ability to learn quickly in a research-focused environment.
  • Preferred Skills

  • Experience with Hugging Face Transformers / Datasets.
  • Exposure to RAG systems and vector databases (Qdrant, Pinecone, Weaviate, Chroma).
  • Awareness of LangChain, LangGraph, or other LLM / Agent frameworks.
  • Knowledge of Docker, Redis, or basic database usage (PostgreSQL / MongoDB).
  • Understanding of OpenAI, Anthropic, Ollama, or other model inference APIs.
  • What We Value

    Curiosity, ownership, clarity of thought, and an understanding of why systems work the way they do, not just how to use them.

    Perks

  • Hands-on experience with real-world AI deployments.
  • Work with state-of-the-art AI tools and platforms.
  • Mentorship from top AI engineers and researchers.
  • Flexible, innovation-driven work culture.
  • Skills Required

    Numpy, Github, Git, Machine Learning, Pandas, Pytorch, Python, Deep Learning

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