Easy Apply
Easy Apply
As an AI Engineer Intern, you will design and develop AI agents, data pipelines, and evaluation frameworks, collaborating with teams to improve customer support and safety.
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
- 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
- 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
Top Skills
AWS
Docker
Faiss
Fastapi
Google Gemini
Kubernetes
Langchain
Langgraph
Pgvector
Python
Streamlit
Vertex Ai
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.
Top Skills:
AIAnalyticsCloud Data EnvironmentsData EngineeringData InfrastructureMachine Learning
Enterprise Web • Fintech • Marketing Tech • Software
As a Product Owner, you will manage the product backlog, collaborate with cross-functional teams, and ensure timely delivery of a robust CRM solution while aligning with business goals.
Top Skills:
CRMJIRA
Machine Learning • Security • Software • Analytics • Defense
The role involves developing and validating real-time RF sensor software systems, integrating algorithms, performing testing, and supporting field demonstrations.
Top Skills:
C/C++GitLinuxMatlabPython
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
