About this role
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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