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AI Engineer Intern

00, United StatesRemoteInternshipJunior / Entry-level$20–$45 /hrPosted 10 days ago

AI Engineering Intern — AR5 Labs

Remote | Internship

ABOUT AR5 LABS

AR5 Labs builds AI-powered automation tools for data analytics. Our flagship product, PlotStudio AI, is a desktop analytics platform where specialized AI agents collaborate through a multi-stage pipeline to deliver the kind of analysis a senior data scientist would produce, complete with code, visualizations, statistical rigor, and executive-grade narrative. Think Cursor, but for data analytics.

Product: https://www.plotstudio.ai/

LinkedIn: https://www.linkedin.com/company/ar5-labs/

ABOUT THE ROLE

We're looking for an AI Engineering Intern to help build and improve the AI agent pipeline behind PlotStudio AI.

This is not a research internship. You'll work on production AI systems: prompt engineering, agent orchestration, model evaluation, and the infrastructure that makes multi-agent workflows reliable. You'll see how AI agents are actually built, tested, and shipped to real users.

You'll work directly with the founder and the AI/ML team. The codebase is small enough that your contributions will ship to production quickly, and complex enough that you'll learn how a real multi-agent system works from the inside.

If you're a student who wants to build AI systems, not just study them, this is the role.

RESPONSIBILITIES

  • Help design, test, and iterate on prompts for PlotStudio's multi-agent pipeline (routing, planning, coding, interpretation agents)
  • Build evaluation scripts to benchmark agent output quality across different datasets and question types
  • Run experiments comparing model performance (GPT-4.1, GPT-5.1, Claude, Gemini) on specific analytical tasks
  • Help improve agent self-correction logic: how the system detects errors, retries, and adjusts its approach
  • Work on domain skill modules that inject specialized knowledge (finance, healthcare, econometrics) into the agent pipeline
  • Build internal tooling for tracking agent accuracy, token usage, and failure modes
  • Help extend the agent orchestration layer (built with LangGraph) to support new workflow types
  • Document prompt versions, experiment results, and engineering decisions as you go

QUALIFICATIONS

Required:

  • Currently pursuing a degree in Computer Science, Data Science, AI/ML, or a related field (rising sophomore, junior, or senior)
  • Comfortable writing Python. You should be able to read, write, and debug code independently
  • Basic understanding of how LLMs work: prompts, tokens, context windows, temperature
  • Genuine interest in AI agents, not just chatbots. You should have an opinion on why single-prompt AI falls short for complex tasks
  • Willingness to experiment, break things, and iterate quickly
  • Self-directed and comfortable asking questions when you're stuck
  • Able to commit 15-20 hours per week

Nice to have:

  • Experience using the OpenAI API, Anthropic API, or any LLM SDK
  • Familiarity with LangChain, LangGraph, CrewAI, or any agent framework
  • Personal projects involving LLMs, prompt engineering, or AI agents
  • Coursework in machine learning, NLP, or statistics
  • Familiarity with Git and version control
  • Experience with FastAPI, Flask, or any Python backend framework
  • Understanding of statistical methods (regression, hypothesis testing, time series)

WHAT YOU'LL LEARN

  • How a production multi-agent system is built: routing, planning, execution, self-correction, and interpretation agents working in sequence
  • Prompt engineering at a level most people never see: versioned prompts, domain-aware injection, structured output parsing, and quality gates between agents
  • How to evaluate AI systems beyond vibes: building benchmarks, measuring accuracy, tracking regressions across prompt versions
  • How to ship AI to real users in a small, fast-moving team

WHY THIS INTERNSHIP

  • You'll work on a real multi-agent AI system, not a tutorial project
  • Small team means high visibility and direct mentorship from the founder
  • Your work will ship to production and be used by real customers
  • You'll have something concrete for your resume: "I helped build and evaluate the AI agent pipeline for a production analytics platform"

MUST HAVE

We are across the United States and Canada. Must be a citizen of either country.

HOW TO APPLY

Follow our LinkedIn page and DM us directly, or email us:

  • A short intro about yourself
  • Your resume or LinkedIn profile
  • What year you're in and what you're studying
  • Why you want to work at AR5 Labs

Email: plotstudio@ar5labs.com

LinkedIn: https://www.linkedin.com/company/ar5-labs/

Pay: $20.00 - $45.00 per hour

Work Location: Remote

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