Senior AI Engineer, Agents
Core
Design, build, and scale AI-powered agent solutions to automate complex processes and improve decision-making for watch collectors, dealers, and internal teams.
Role type
Senior IC machine-learning engineer (agentic systems)
Builds
Intelligent agents leveraging EveryWatch's unique watch-market data (pricing, auctions, listings, portfolios)
Domain
Secondary luxury watch market + LLM engineering
Deliverable
production ML models
Required skills
Python, LLM engineering, agent architecture (ReAct, tool/function calling, planners, state management, long-term memory), LangGraph, RAG (retrieval, re-ranking, evaluation), cloud production (AWS), CI/CD, async job processing, evaluation frameworks (RAGAS, DeepEval, LLM-as-judge)
Preferred skills
LLM post-training (SFT, LoRA, RL), voice agents, multi-agent orchestration, Text-to-SQL, guardrails, hallucination detection
Technologies
Python, LangGraph, LangSmith/Langfuse, FastAPI, AWS (Bedrock, SQS, EC2/EKS, S3), Docker, CI/CD, LiveKit/Pipecat
Responsibilities
Invent and prioritize the agent roadmap based on business needs; build and deploy agents end-to-end; maintain and harden existing AI products (WatchChat); implement shared tool layers and evaluation harnesses; optimize for cost and latency
Seniority
Senior, hands-on IC
