AI Engineer Intern- Summer 2026
Role summary
Roadie, a UPS company, is seeking an AI Engineer Intern for Summer 2026 to join their Innovation Team. The intern will focus on building AI-powered products, including LLM-powered chatbot agents with RAG and tool orchestration, fraud detection models using embeddings and semantic search, and data pipelines for ingestion, embedding, and vector storage. Responsibilities include developing evaluation frameworks, writing clean code, and collaborating with Engineering and Product teams in an agile environment. The role offers exposure to technologies like Python, FastAPI, LangChain, Google Gemini, vector databases, AWS, Docker, and Kubernetes.
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