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
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