🚀 AI Engineer Internship | PearlThoughts | Remote

Artificial Intelligence, LLMs, and building intelligent systems that understand code

AI Engineer Interns

Responsibilities:

• Assist in building

  Retrieval-Augmented Generation (RAG)

  pipelines for code and documentation
• Work on

  semantic search and vector embeddings

  for intelligent retrieval
• Support development of

  AI agents

  for code analysis and migration tasks
• Help design and maintain

  knowledge graphs

  for understanding code relationships
• Work with LLMs (GPT, Claude, LLaMA) for code generation and reasoning
• Parse and analyze source code using tools like

  tree-sitter

• Collaborate with engineers to improve AI-driven automation and developer tooling

• Experiment with models, prompts, and retrieval strategies to improve accuracy

Preferred Skills:

• Basic to intermediate knowledge of

  Python or JavaScript/TypeScript

• Understanding of embeddings, vector search, and semantic similarity

• Familiarity with LLMs and prompt engineering concepts

• Basic knowledge of SQL and data structures

• Interest in compilers, code analysis, or developer tools

• Exposure to FastAPI, NestJS, or similar frameworks is a plus

• Awareness of vector databases (LanceDB, Pinecone, Weaviate, etc.) is desirable

• Strong problem-solving mindset and eagerness to learn AI systems

Internship Details:

• Location:

  100% Remote

• Duration:

  1 Month (Unpaid for the first month)

• Perks:

  Internship certificate upon successful completion

• Growth Path:

  High-performing interns may be offered a

  paid internship or full-time opportunity

Eligibility:

• Fresh graduates or final-year students
• 0–6 months of hands-on experience
• Strong interest in

  AI, machine learning, LLMs, and automation

• Willingness to learn and work on real-world AI engineering problems

Industry:

IT Services and IT Consulting

💼 Employment Type:

Full-time Internship