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
Deliver the next generation of Search, Personalization, and Trust & Safety features powered by reliable, production-quality AI systems
Directly contribute to key business KPIs (conversion, retention, fraud reduction) by turning data science insights into shipped capabilities
Production RAG pipelines for intelligent discovery; agentic workflows for marketplace automation; tooling and infrastructure for rapid, safe LLM deployment

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)
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.

Benefits

health insurance
healthcare savings and spending accounts
retirement savings benefits (401(k) plan with match)
basic and voluntary life insurance
disability benefits
paid time off for sick leave, family and/or medical leave, vacation, and 12 company holidays
flexible vacation policy

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI systemsML systemsPythonagentic frameworksRAG systemsvector searchsemantic chunkingrerankersLLM APIsSQL

Soft Skills

collaborative mindsetstrong communication skills