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