Generative AI Intern
Job Overview
We are looking for a passionate Generative AI Intern eager to work on cutting-edge AI technologies. This role is ideal for candidates who have a strong foundation in Python and machine learning fundamentals, along with a growing interest in large language models (LLMs), prompt engineering, and agent-based systems.
Key Responsibilities:
Core Fundamentals
- Python proficiency (data structures, OOP, async programming)
- Familiarity with ML fundamentals (supervised/unsupervised learning, evaluation metrics)
- Basic understanding of transformer architecture and attention mechanisms
- Experience with at least one LLM API (OpenAI, Anthropic, Google Gemini)
Agent-Relevant Skills
- Prompt engineering (few-shot, chain-of-thought, system prompts)
- Basic experience with LangChain, LlamaIndex, or similar orchestration frameworks
- Understanding of RAG (Retrieval-Augmented Generation) concepts
- Familiarity with vector databases (Pinecone, Weaviate, ChromaDB)
- API integration and basic tool-use patterns
Nice to Have
- Exposure to function calling / tool-use in LLMs
- Personal projects or hackathon work involving chatbots or AI assistants
- Basic knowledge of Git and collaborative development
Qualifications
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field
Additional Information
What You’ll Gain
- Hands-on experience with real-world Generative AI systems
- Exposure to modern AI tools, frameworks, and architectures
- Mentorship from experienced AI engineers
- Opportunity to work on impactful and innovative AI projects