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