About the Team
The Data team at OfferUp is the engine of intelligence, transforming massive amounts of marketplace data into seamless, safe, and personalized experiences. They bridge complex algorithms and real-world customer impact across search, trust & safety, and personalization.
About the Role
As an AI Engineer on the Data team, you will be at the center of how AI transforms millions of people's buying, selling, and connecting experiences on OfferUp. You will own the production systems—from agentic workflows and RAG pipelines to LLM integrations—that translate marketplace intelligence into real customer experiences. Your work will have a company-wide impact, enhancing search ranking, personalization, fraud detection, and generative AI features, directly influencing OfferUp's most critical product surfaces. This role is part of a cross-functional team including Data Engineering and Data Science, serving as the bridge to turn research and models into shipped, production-grade AI systems.
What We Love About This Role
- Breadth of Impact: Build AI systems that drive results across Search & Discovery, Trust & Safety, Advertising, and core Personalization.
- Modern AI Stack: Work with agentic frameworks (LangChain, LangGraph), RAG architectures, and LLM APIs to solve real marketplace problems.
- Production Ownership: Build, ship, and own AI features end-to-end, from design through deployment.
- Collaborative Environment: Work alongside Senior Data Scientists and Engineers at the intersection of research and production.
In This Role, You Will
- Design and build agentic AI systems and RAG pipelines for production features across the marketplace.
- Integrate LLMs into product experiences across search, categorization, communication, and trust & safety.
- Partner with Data Scientists and Engineers to turn research into shipped products.
Here’s More of What You Will Get To Do
- Impact on Product: Deliver the next generation of Search, Personalization, and Trust & Safety features powered by reliable, production-quality AI systems.
- Impact on Company: Directly contribute to key business KPIs (conversion, retention, fraud reduction) by turning data science insights into shipped capabilities.
- Critical Projects: Production RAG pipelines for intelligent discovery; agentic workflows for marketplace automation; tooling and infrastructure for rapid, safe LLM deployment.
You’ll Thrive in This Role If You Have
- 2-4 years building and deploying AI/ML systems in production.
- 2+ years professional Python development.
- Hands-on experience with agentic frameworks (LangChain, LangGraph, or similar) including function calling and tool-use design.
- Practical experience building RAG systems (vector search, semantic chunking, rerankers).
- Experience with LLM APIs, prompt engineering, and structured outputs.
- Proficiency with async Python (asyncio, streaming) and Pydantic.
- Strong SQL skills for large-scale data systems.
- Bachelor's in CS, Math, Statistics, or related field (or equivalent experience).
- Collaborative mindset and strong communication skills.
Helpful, But Not Required (Nice to Haves)
- LLMOps tooling: evals (Ragas, DeepEval), observability (LangSmith, Arize Phoenix), guardrails (NeMo).
- Cloud deployment of AI services (AWS preferred).
- GraphRAG or knowledge graph integration (Neo4j/FalkorDB).
- ReAct, Plan-and-Solve, or multi-agent collaboration patterns.