AI Engineering Intern — Core Cognitics

Role Overview

We're building AI-powered enterprise products that automate workflows, enhance decision-making, and deliver intelligent user experiences across industries including healthcare, automotive, HR, and business operations. We're looking for an enthusiastic AI Engineering Intern who is passionate about artificial intelligence, eager to learn modern AI technologies, and excited to work on production-ready AI applications. This internship offers the opportunity to gain hands-on experience while contributing to real products, with the potential to become a full-time AI Engineer.

Responsibilities

• Building AI-powered features for enterprise applications
• Developing AI agents and workflow automations using modern LLM frameworks
• Creating Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings
• Integrating Large Language Models with internal and external APIs
• Designing prompts, evaluating AI outputs, and improving model performance
• Experimenting with open-source and commercial LLMs for different business use cases
• Assisting in building multi-agent AI workflows and tool-calling systems
• Working with structured and unstructured datasets to improve AI responses
• Contributing to AI testing, evaluation, and observability
• Collaborating with software engineers to deploy AI features into production

Requirements

• Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
• Strong programming skills in Python
• Good understanding of data structures and algorithms
• Familiarity with REST APIs and JSON
• Basic understanding of machine learning and generative AI concepts
• Strong analytical and problem-solving skills
• Excellent communication and willingness to learn

Nice to Have

• Experience with LLM frameworks such as LangChain, LlamaIndex, or CrewAI
• Familiarity with OpenAI, Anthropic, Gemini, or open-source language models
• Knowledge of Retrieval-Augmented Generation (RAG)
• Experience with prompt engineering
• Understanding of embeddings and semantic search
• Familiarity with Git and Docker
• Basic cloud experience (Azure, AWS, or Google Cloud)
• Experience building personal AI projects or participating in hackathons

Skills

• Python
• LangChain
• LLMs
• RAG
• Vector Databases