AI Engineer (Hybrid @ Bellevue, WA or Remote @ Florida)

OfferUp•Bellevue, FL

1d•$140,000 - $160,000•Hybrid

About The Position

AI is transforming how millions of people buy, sell, and connect on OfferUp - and this role is at the center of making that happen. As an AI Engineer on the Data team, you will own the production systems — from agentic workflows and RAG pipelines to LLM integrations - that turn our marketplace intelligence into real customer experiences. From enhancing search ranking and personalization to powering fraud detection and generative AI features, your work will have a company-wide impact and be felt by millions of users every day. The Data team reports into the broader engineering organization and directly influences OfferUp's most critical product surfaces. We are looking for an AI Engineer to join our Data team. This team is tasked with building the core intelligence - supporting search ranking, recommendation engines, fraud detection, and generative AI features - that is critical to OfferUp's success as the leading local marketplace. You will be part of a cross-functional team that includes Data Engineering and Data Science, serving as the bridge that turns research and models into shipped, production-grade AI systems.

Requirements

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.

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.

Responsibilities

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.