[Hiring] AI Engineer Intern @Roadie

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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.