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Roadie

AI Engineer Intern- Summer 2026

Sorry, this job was removed at 07:18 a.m. (PST) on Friday, Apr 17, 2026
Remote
Hiring Remotely in USA
Remote
Hiring Remotely in USA

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Roadie, a UPS company, is a leading logistics and delivery platform that helps businesses tackle the complexities of modern retail with unmatched delivery coverage, flexibility and visibility. Reaching 97% of U.S. households across more than 30,000 zip codes — from urban hubs to rural communities — Roadie provides seamless, scalable solutions that meet a variety of delivery needs.

With a network of more than 310,000 independent drivers nationwide, Roadie offers flexible delivery solutions that make complex logistics challenges easy, including solutions for local same-day delivery, delivery of big and bulky items, ship-from-store and DC-to-door. For more information, visit www.roadie.com.

Roadie is seeking an AI Engineer Intern for Summer 2026 who is excited about building AI-powered products. You’ll work alongside our Innovation Team to design and develop AI agents, data pipelines, and internal tools that shape the future of Customer Support and Trust & Safety at Roadie.

What You’ll Do
  • Build and improve AI chatbot agents powered by LLMs, including retrieval-augmented generation (RAG), prompt engineering, and tool orchestration
  • Develop and refine fraud detection models using embeddings, semantic search, and rule-based systems
  • Design and maintain data pipelines, including ingestion, embedding, vector storage, and retrieval quality
  • Build evaluation frameworks to measure and improve AI agent accuracy and response quality
  • Collaborate with Engineering and Product teams to ship features end-to-end in a fast-paced, agile environment
  • Write clean, testable code and contribute to our AI platform and internal tooling
  • Gain exposure to technologies such as Python, FastAPI, LangChain, LangGraph, Google Gemini / Vertex AI, vector databases (pgvector, FAISS), AWS (EKS, S3), Docker, Kubernetes, Streamlit
What You Bring
  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s students with a focus on AI/ML preferred)
  • Experience with Python and familiarity with REST APIs
  • Interest or hands-on experience with LLMs, RAG, or machine learning pipelines
  • Strong attention to detail, accuracy, and reliability
  • Strong problem-solving and critical thinking skills, with the ability to thrive in a fast-paced environment
  • Excellent written and verbal communication skills
Bonus
  • Experience with prompt engineering, embeddings, or vector databases
  • Familiarity with Docker, Kubernetes, or cloud platforms (AWS, GCP)
  • Experience with data labeling, model evaluation, or NLP

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