AI Intern

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, Next.js) is a plus.