Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics
Architect tool-using agents with reliable planning, execution, and recovery
Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring
Partner with product and design to translate agentic capabilities into UX that members actually use and trust
Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently
Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production

Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks
Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming
Experience designing and running evals for non-deterministic systems
Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design
Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all

Nice to have

Experience with agent frameworks (LangGraph, CrewAI, etc.) and equally comfortable building from scratch
RAG over heterogeneous data — structured listings, images, unstructured text, historical records
Multi-modal experience (vision models for jewelry imagery, OCR, image-to-attribute extraction)
Background in marketplaces, search, recommendations, or trust & safety
Experience with iOS and Android coding & support
Experience with Wordpress & front-end SEO
Familiarity with the jewelry, luxury, or trading industries
Experience deploying agents under real cost, latency, and reliability constraints

AI Developer

Key skills