Machine Learning Engineer, CX Intelligence at Blockchain Association – Remote - Brazil | Jobyssey

You'll join the CX Intelligence Engineering team to design and scale agentic systems that automate complex customer support workflows. You'll connect LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers. You'll work with advanced orchestration frameworks, build integrations using Model Context Protocol, develop evaluation pipelines for AI agents, and ship production-ready Python services at Coinbase scale. You'll also partner with Conversation Design and Product teams to translate business logic into executable agent procedures.

Responsibilities

Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end
Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling
Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production
Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies
Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices
Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentralized architecture

Requirements

3+ years building and scaling ML/AI systems in production, with demonstrated experience implementing agentic "Loop" or "ReAct" based systems where AI takes actions autonomously
Deep understanding of the LLM lifecycle including context window management, token optimization, structured output parsing (Pydantic, JSON mode), and multi-agent orchestration frameworks (LangGraph, Google ADK, or similar)
Strong proficiency in Python with hands-on experience in microservices architecture, asynchronous programming, high-throughput APIs, and vector databases (Pinecone, Weaviate, or equivalent)
Demonstrated ability to explain model behaviors and technical trade-offs to non-technical stakeholders across CX, Legal, and Product teams
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality

Benefits

Equity
Bonus eligibility
Medical benefits
Dental benefits
Vision benefits

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