AI Intern

About the Role

AI Intern at Datadives India Pvt. Ltd. focused on Generative AI, AI Agents, and AWS. This is a full-time, on-site role providing hands-on experience in building intelligent applications.

Key Responsibilities

• Assist in designing and developing AI agents capable of reasoning through tasks, interacting with tools and APIs, and automating business workflows.
• Build and experiment with Generative AI applications using LLMs, prompt engineering, and structured outputs.
• Explore AI agent frameworks such as LangChain, LangGraph, CrewAI, and AWS Bedrock Agents.
• Develop Retrieval-Augmented Generation (RAG) workflows using document processing, embeddings, vector databases, and semantic search.
• Work with AWS services such as Amazon Bedrock, S3, Lambda, API Gateway, IAM, and CloudWatch.
• Support the development of Python-based APIs, data processing pipelines, and AI-powered automation solutions.
• Experiment with machine learning models, including data preprocessing, feature engineering, model training, and evaluation.
• Test AI agent reliability, response accuracy, tool-calling behavior, latency, and cost efficiency.
• Integrate AI applications with databases, APIs, enterprise documents, and structured or unstructured data sources.
• Maintain code repositories, document experiments, troubleshoot issues, and collaborate with engineers on technical solutions.

Requirements & Tech Stack

• Strong foundation in computer science, programming fundamentals, data structures, and algorithms.
• Good working knowledge of Python, including functions, object-oriented programming, APIs, and common libraries.
• Understanding of machine learning fundamentals, data preprocessing, feature engineering, and model evaluation.
• Basic knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, and AI application development.
• Familiarity with AI agents, including concepts such as tool calling, task planning, memory, and multi-step workflows.
• Basic understanding of AWS cloud concepts and services such as S3, Lambda, IAM, and Amazon Bedrock.
• Familiarity with SQL, REST APIs, JSON, Git, and collaborative software development.
• Strong analytical thinking, debugging skills, and willingness to experiment with emerging AI technologies.
• Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Good to Have

• Hands-on experience building AI agents using LangChain, LangGraph, CrewAI, or similar frameworks.
• Exposure to Amazon Bedrock, Bedrock Agents, Bedrock Knowledge Bases, or other AWS AI services.
• Experience with RAG pipelines, embeddings, vector databases, and semantic search.
• Familiarity with LLM APIs, function calling, structured outputs, and agent orchestration.
• Understanding of multi-agent systems, Model Context Protocol (MCP), and human-in-the-loop workflows.
• Experience with FastAPI, Docker, Streamlit, or similar application development tools.
• Knowledge of AI evaluation techniques, hallucination reduction, guardrails, and responsible AI practices.
• Familiarity with AWS architecture, serverless applications, and cloud cost optimization.
• Experience with personal projects, hackathons, open-source contributions, or working AI prototypes.

What You'll Gain

• Hands-on experience designing and building real-world AI agents and Generative AI applications.
• Practical exposure to AWS cloud services and enterprise AI architectures.
• Opportunities to work on industry-focused AI proof-of-concepts and automation solutions.
• Experience taking AI ideas from experimentation to functional prototypes.
• Direct mentorship from experienced data engineers and cloud architects.
• Exposure to production engineering practices, code reviews, documentation, and collaborative development.