# Machine Learning Engineer, CX Intelligence

**Company:** [Coinbase](https://hotfix.jobs/companies/coinbase)
**Location:** Remote
**Role:** ML Engineering
**Salary:** R$348k – R$348k/yr
**Experience:** 3+ years
**Skills:** Python, LangGraph, Google Adk, Model Context Protocol, LLMs, RAG, Prompt Engineering, Fine-Tuning, Pydantic, JSON, Microservices, Asynchronous Programming, Vector Databases, Pinecone, Weaviate
**Posted:** 2026-07-07

> Build and scale production multi-agent systems for customer support, integrating LLMs with internal tools and APIs. The role requires 3+ years of production ML/AI experience, strong Python and microservices expertise, and familiarity with orchestration, RAG, evaluation, and vector databases.

## Job Description

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

## Requirements
- 3+ years building and scaling machine learning or artificial intelligence systems in production.
- Experience implementing agentic Loop- or ReAct-based systems where AI takes autonomous actions.
- Understanding of the LLM lifecycle, including context-window management, token optimization, structured-output parsing, Pydantic, JSON mode, and multi-agent orchestration.
- Strong Python proficiency and hands-on experience with microservices architecture, asynchronous programming, high-throughput APIs, and vector databases such as Pinecone or Weaviate.
- Ability to explain model behavior and technical trade-offs to non-technical stakeholders across CX, Legal, and Product.
- Responsible use of generative AI with human oversight and focus on measurable improvements in workflow efficiency, cost, and quality.

## Compensation and Benefits
- Annual base salary: **R$347,900–R$347,900 BRL**.
- Total compensation may include equity, bonus eligibility, and medical, dental, and vision benefits.

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