Machine Learning Engineer, CX Intelligence
Core
Design and scale multi-agent systems that automate complex customer support workflows by connecting LLMs with internal APIs and tools.
Role type
Senior IC machine learning engineer (agentic systems)
Builds
Multi-agent platform powering Coinbase Chat, Help Center, and agent tooling
Domain
Fintech / Customer Experience / Generative AI
Deliverable
production ML models
Required skills
Multi-agent orchestration (LangGraph, Google ADK), LLM lifecycle management, Python (microservices, async), RAG, fine-tuning, prompt engineering, vector databases (Pinecone, Weaviate), LLM-as-a-judge evaluation
Preferred skills
Experience with Model Context Protocol (MCP), experience with decentralized architecture
Technologies
LangGraph, Google ADK, Model Context Protocol (MCP), Pydantic, Pinecone, Weaviate
Responsibilities
Architect multi-agent systems to automate customer support procedures; Build and scale integrations using MCP to connect LLMs with internal APIs; Develop automated evaluation pipelines for AI agents; Implement RAG and fine-tuning techniques; Ship production-ready Python services; Partner with Product to translate business logic into agent procedures
Seniority
Senior, hands-on IC