Posted:1 week ago| Platform: GlassDoor logo

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On-site

Job Type

Full Time

Job Description

Role Overview
As a GenAI Intern, you will work with our product engineering and AI teams to design, experiment, and implement AI-driven features. You’ll get the opportunity to build AI agents, explore neural networks, and create prototypes that demonstrate the power of Generative AI in solving domain-specific problems.

Key Responsibilities

  • Assist in designing and building AI agents and workflows using LangChain and LangGraph.
  • Experiment with Large Language Models (LLMs) to enhance product features.
  • Explore neural networks and apply them in relevant tasks.
  • Contribute to the development of agentic AI systems tailored for SaaS use cases.
  • Learn and apply Model Context Protocol (MCP) for interoperability and context sharing.
  • Collaborate with senior engineers to build POCs (proof of concepts) and integrate them into the product roadmap.
  • Research and document advancements in the Generative AI ecosystem.

Requirements

  • Strong understanding of Neural Networks and basic ML/DL concepts.
  • Familiarity with Generative AI and LLMs (e.g., GPT, LLaMA, Claude, etc.).
  • Exposure to frameworks like LangChain and LangGraph.
  • Interest in building AI Agents and Agentic AI systems.
  • Curiosity about MCP (Model Context Protocol) and how it connects AI systems.
  • Proficiency in Python and working knowledge of APIs.
  • Ability to learn quickly and work in a collaborative team environment.

Nice to Have

  • Hands-on project(s) in Generative AI.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS).
  • Familiarity with cloud platforms (AWS/GCP/Azure).
  • Interest in the AEC (Architecture, Engineering, Construction) domain.

Why Join Us?

  • Gain hands-on experience with cutting-edge AI tools.
  • Work on real-world SaaS problems with mentorship from experienced AI engineers.
  • Be part of a fast-growing startup shaping the future of AEC + AI.
  • Opportunity to convert the internship into a full-time role based on performance.

Job Type: Full-time

Pay: ₹10,000.00 - ₹20,000.00 per month

Work Location: In person

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