AI Intern

4 days ago

Thāne, Maharashtra, India Dure Technologies Full time ₹ 8,00,000 - ₹ 12,00,000 per year

About the Role:

looking for highly motivated and curious AI Interns to join our Data & AI team. This internship is an opportunity to work on cutting-edge AI-first applications, including intelligent agents, chatbots, automation tools, and production-grade AI systems.

As an AI Intern, you'll work closely with engineers and product managers to build smart solutions using agentic AI, LLMs, RAG pipelines, and tool-using architectures.

Role & responsibilities

  • Assist in designing and building AI-powered applications using modern frameworks.
  • Contribute to the development of chatbots, AI agents, and autonomous workflows.
  • Support integration of LLMs with external tools and data sources (e.g., APIs, vector DBs, knowledge graphs).
  • Participate in prompt engineering, model testing, and fine-tuning tasks.
  • Write clean, scalable Python code for backend and AI service logic.
  • Assist with deploying AI models in real-world production environments.
  • Conduct research on latest advancements in agentic AI, MCP, LangChain, or similar ecosystems.

Preferred candidate profile

  • Solid understanding of AI/ML fundamentals (e.g., NLP, classification, embeddings, transformers).
  • Familiarity with LLM frameworks such as LangChain, AutoGen, or OpenAI SDK.
  • Hands-on experience with at least one project involving AI agents, chatbots, or tool-using AI systems.
  • Proficiency in Python and basic experience with REST APIs.
  • Strong problem-solving skills and ability to learn quickly in a fast-paced environment.

  • We don't expect you to know everything but we do expect curiosity, eagerness to learn, and commitment to building AI systems.

  • Nice-to-Have:

  • Knowledge of retrieval-augmented generation (RAG) and vector databases (e.g., Pinecone, Weaviate, FAISS).
  • Familiarity with Neo4j, knowledge graphs, or MCP (Model Context Protocol).
  • Experience with cloud deployment (e.g., AWS, GCP, Azure) or containerization (Docker).
  • Exposure to front-end or full-stack development (React, ) is a plus.

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