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Applied AI Engineering Intern

Remote
12-16 weeks
Internship
PythonLangChainOpenAI APIVector DBsRAGFastAPI

About the Role

Join our Applied AI team as an Applied AI Engineering Intern and help bridge the gap between cutting-edge AI research and real-world applications. You'll work on developing practical AI solutions, building intelligent systems, and creating tools that make AI accessible and useful for various domains.

This role focuses on the practical implementation of AI technologies, including building AI-powered applications, integrating large language models, developing retrieval-augmented generation systems, and creating intelligent automation tools.

Key Responsibilities

  • • Develop AI-powered applications using LLMs and modern AI frameworks
  • • Build and optimize retrieval-augmented generation (RAG) systems
  • • Integrate various AI APIs and services into production applications
  • • Design and implement intelligent automation workflows
  • • Work with vector databases and embedding systems for semantic search
  • • Develop prompt engineering strategies and fine-tuning pipelines
  • • Create tools and interfaces that make AI research more accessible

Requirements

Essential Requirements:

  • • Currently pursuing a degree in Computer Science, AI, Data Science, or related field
  • • Strong programming skills in Python and experience with AI/ML libraries
  • • Experience working with APIs and building applications
  • • Understanding of machine learning concepts and natural language processing
  • • Familiarity with web development and database systems

Preferred Qualifications:

  • • Experience with LangChain, LlamaIndex, or similar AI frameworks
  • • Knowledge of vector databases (Pinecone, Weaviate, Chroma)
  • • Experience with OpenAI API, Anthropic Claude, or other LLM APIs
  • • Understanding of prompt engineering and model fine-tuning
  • • Previous experience building AI-powered applications or chatbots

What You'll Learn

  • • LLM integration and optimization
  • • RAG system architecture
  • • Prompt engineering best practices
  • • Vector database management
  • • AI application deployment
  • • Intelligent automation design

Internship Details

Duration: 12-16 weeks (Summer/Fall 2024)

Location: Remote

Start Date: Flexible based on availability