Key skills
PythonSQLAIMLLLMRAGLangChainAgenticLangGraphCommunication
About this role
Role Overview
- 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.
Tech Stack
- Python
- SQL
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