AI Engineer Intern

Go CadreSan Diego, CA
2d

About The Position

The AI Engineer Intern is a hands-on, learning-forward role embedded directly in Cadre AI’s engineering work. You won’t be writing documentation or sitting in on meetings as a spectator. You’ll be building, testing, and shipping alongside our AI team—contributing to the real systems we deploy for clients. This is a part-time role (10–15 hours per week) designed for a student or early-career engineer who is serious about building AI systems, not just learning about them. You’ll get direct exposure to production-grade LLM pipelines, agent frameworks, and data tooling—and you’ll work day-to-day with engineers who use AI to build AI. This is an unpaid, semester internship for students seeking course credit.

Requirements

  • Currently studying computer science, data science, or a closely related field
  • Comfortable writing Python and motivated to learn new tools quickly
  • Curious about AI and actively keeping up with new models, techniques, and frameworks
  • You ask questions, take direction from mentors, and follow through on what you commit to
  • Comfortable working independently on defined tasks and collaborating effectively when the work requires it

Nice To Haves

  • Some hands-on experience building AI or ML projects—class projects, hackathons, or personal work all count
  • Familiarity with basic LLM concepts or simple agent frameworks (LangChain, LlamaIndex, DSPy, or similar)
  • Experience creating or working with datasets for training or evaluation purposes
  • A habit of looking at real outputs to find errors—you’re not satisfied until you understand why something went wrong
  • A drive to try new ideas quickly, learn from the results, and iterate

Responsibilities

  • Help set up and test AI agent systems and orchestration tooling
  • Assist in designing and running RAG (retrieval-augmented generation) pipelines for our knowledge bases
  • Support the creation of memory systems that allow AI models to use past interactions for future decision-making
  • Help build tools to track AI performance and catch quality issues before they reach clients
  • Work with team members to extract and organize data from text and other document types
  • Take part in error analysis to identify and solve issues with model outputs
  • Join feedback sessions and apply guidance to improve AI model behavior

Benefits

  • Real exposure, not busywork. You’ll work on production AI systems alongside engineers who take craft seriously. Every task connects to something that ships.
  • Front-row seat. You’ll work day-to-day with the people building and running one of the fastest-growing AI consulting firms in the country.
  • AI-native culture. We don’t just build AI for clients. We use it to run our own operations. You’ll learn how a team actually works with these tools at the frontier.
  • Room to grow. Strong interns get more responsibility. This is a proving ground, not a placeholder.
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