INTERNSHIP DETAILS

AI Engineer Intern- Summer 2026

CompanyRoadie
LocationRemote
Work ModeRemote
PostedMarch 26, 2026
Internship Information
Core Responsibilities
The intern will be responsible for building and improving AI chatbot agents utilizing LLMs, including RAG and prompt engineering, and developing/refining fraud detection models using embeddings and semantic search. They will also design data pipelines and build evaluation frameworks to measure AI agent performance.
Internship Type
full time
Company Size
1565
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
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.
About the 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
Key Skills
PythonFastAPILangChainLangGraphGoogle GeminiVertex AIPgvectorFAISSAWSDockerKubernetesStreamlitLLMsRAGPrompt EngineeringSemantic Search
Categories
TechnologyEngineeringData & AnalyticsSoftwareLogistics