At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits.

As a Software Engineer, Enterprise Apps on the CX Shared Agent Platforms and SFDC Solutions team within Coinbase's Enterprise Applications and Architecture org, you'll build the platforms and services that power customer experience and compliance operations across Coinbase.

Responsibilities

• Build and ship full-stack services and applications using Golang, gRPC, TypeScript, and React to support CX agent workflows and automation.
• Own the design, implementation, and integration of third-party platforms (Salesforce, Maestro QA, Assembled) that extend Coinbase's internal CX tooling capabilities.
• Drive platform modernization efforts, including support for strategic platform transitions and evolving the agent platform landscape.
• Partner with product, design, security, and data teams to deliver cross-functional solutions to complex operational and compliance challenges.
• Lead code reviews, architecture discussions, and testing practices that raise the quality bar across the team and support reliable, high-traffic production systems.
• Identify and mitigate technical risks during design and implementation, proactively adapting approaches to maintain platform reliability.

Requirements

• 5+ years of experience in software engineering, with proficiency in Go and hands-on experience building scalable backend services using gRPC and event-driven architectures (Kafka or similar).
• Demonstrated full-stack development capability with TypeScript/JavaScript and modern component-based frameworks (React), delivering production-quality applications.
• Experience operating production systems on AWS with Kubernetes, Terraform, and CI/CD pipelines (BuildKite or similar), including implementation of rate limiters, caching, load balancing, and observability tooling.
• Proven track record evaluating, integrating, and extending third-party SaaS platforms in a production enterprise environment.
• Experience mentoring engineers on design patterns, testing practices, and deployment processes in a distributed, multi-timezone team.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Salary

The target annual base salary for this position can range from R$341,240 to R$359,200 BRL.

Benefits

• Medical, dental, and vision benefits
• Equity and bonus eligibility

XML job scraping automation by YubHub

As a Principal Presales Engineer, Product Specialist, you will partner closely with sales, solutions engineering, and enterprise strategists to consult on complex, multi-product opportunities. You will scope, design, and validate how complex multi-product solutions fit into the client's ecosystem and help paint the long-term Twilio vision for our customers.

Responsibilities:

• Develop your expertise of the Twilio platform, use cases and buyer personas, while keeping up with industry trends in Voice + AI
• Scope, design, and build multi-product solution architecture and compelling presentations to secure the Technical Win
• Support core sales and solutions engineering team members on value-selling strategies and complex solution sales
• Design and validate scalable, secure, multi-product messaging architectures aligned to customer ecosystems and long-term Twilio adoption
• Partner with Sales, Solutions Engineers, and Enterprise Strategists to drive technical validation and secure the technical win in complex sales cycles
• Document recent patterns and technology shifts with our clients and prospects to influence Product and R&D strategy and roadmap via GTM interlock and PDLC processes

Qualifications:

• Hands-on experience designing and validating Conversational AI or LLM-driven architectures (e.g., integrating OpenAI, Dialogflow, or similar models via APIs)
• Experience leading pre-sales or solution architecture engagements, including scoping, design, and technical validation in both Portuguese and English language
• Strong background in API-based, event-driven systems, with hands-on experience using REST APIs and webhooks
• Working knowledge of at least one backend language such as Node.js or Python, with prior software development or equivalent experience
• Demonstrated expertise in messaging platforms, including throughput management, retry strategies, and deliverability optimization
• Ability to communicate complex technical concepts clearly to technical and executive audiences
• Strong collaboration and influencing skills across sales, engineering, and product stakeholders

Location: Remote - Brazil Travel: Approximately 15% travel anticipated

What We Offer: Competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

XML job scraping automation by YubHub

As a Principal Presales Engineer, Product Specialist, you will partner closely with sales, solutions engineering, and enterprise strategists to consult on complex, multi-product opportunities. You will scope, design, and validate how complex multi-product solutions fit into the client's ecosystem and help paint the long-term Twilio vision for our customers.

Responsibilities:

• Develop your expertise of the Twilio platform, use cases and buyer personas, while keeping up with industry trends in Voice + AI
• Scope, design, and build multi-product solution architecture and compelling presentations to secure the Technical Win
• Support core sales and solutions engineering team members on value-selling strategies and complex solution sales
• Design and validate scalable, secure, multi-product messaging architectures aligned to customer ecosystems and long-term Twilio adoption
• Partner with Sales, Solutions Engineers, and Enterprise Strategists to drive technical validation and secure the technical win in complex sales cycles
• Document recent patterns and technology shifts with our clients and prospects to influence Product and R&D strategy and roadmap via GTM interlock and PDLC processes

Qualifications:

• Hands-on experience designing and validating Conversational AI or LLM-driven architectures (e.g., integrating OpenAI, Dialogflow, or similar models via APIs)
• Experience leading pre-sales or solution architecture engagements, including scoping, design, and technical validation in both Portuguese and English language
• Strong background in API-based, event-driven systems, with hands-on experience using REST APIs and webhooks
• Working knowledge of at least one backend language such as Node.js or Python, with prior software development or equivalent experience
• Demonstrated expertise in messaging platforms, including throughput management, retry strategies, and deliverability optimization
• Ability to communicate complex technical concepts clearly to technical and executive audiences
• Strong collaboration and influencing skills across sales, engineering, and product stakeholders

Location: Remote - Brazil Travel: Approximately 15% travel anticipated

What We Offer: Competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

XML job scraping automation by YubHub

At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here.

Join the EAA Compliance CXAE team within the Platform group as a Software Engineer building AI-first platforms that transform how CX Compliance agents work. This team owns the tools, services, and applications that streamline compliance and KYC processes, helping resolve customer issues faster with greater accuracy.

You'll build full-stack applications using Golang and React that enable compliance agents to increase productivity, drive automation, and deliver impact at scale through custom development and third-party integrations.

Responsibilities:

• Build end-to-end user-facing features using Golang, React, and cloud technologies for CX compliance agent platforms
• Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities
• Drive cross-functional outcomes on complex problems in collaboration with product, design, security, data, and peer engineering teams
• Own technical architecture decisions and implement scalable, high-traffic services across event-driven and distributed systems
• Mentor engineers on design techniques, coding standards, testing practices, and deployment processes

Required Skills and Experience:

• 4+ years of production software engineering experience building large-scale systems with Golang, React, and cloud technologies (AWS, Kubernetes, Terraform)
• Demonstrated experience integrating third-party vendor APIs and SaaS platforms into production systems
• Proficiency in distributed systems patterns including rate limiters, caching, load balancing, circuit breakers, and event-driven architectures (Kafka, message queues)
• Hands-on experience with observability and reliability tooling including metrics, logging, tracing, and debugging in production environments
• Working knowledge of gRPC, GraphQL, SQL or NoSQL databases, and ETL pipelines
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

Benefits:

• The target annual base salary for this position can range from R$341.240 to R$359.200 BRL
• Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision)

XML job scraping automation by YubHub

At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits.

The CX Intelligence Engineering team, part of Coinbase's Enterprise Applications and Architecture org, builds the multi-agent platform powering Coinbase Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers.

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.

The target annual base salary for this position can range from R$347,900 to R$347,900 BRL.

XML job scraping automation by YubHub

As a Machine Learning Engineer on the CX Intelligence team within Enterprise Applications and Architecture, you'll build the AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows. The team owns the multi-agent platform powering Coinbase Chat and agent tooling, partnering with Conversation Design, CX, and Engineering to deliver secure, scalable automated support. You'll lead the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants, directly improving how millions of customers get help.

Responsibilities:

• Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment.
• Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products.
• Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery.
• Establish best practices for system design, coding standards, and AI/ML development workflows across the team.
• Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team.
• Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance.

Requirements:

• 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale.
• Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
• Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code.
• Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling.
• Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): R$455,500 - R$455,500 BRL

XML job scraping automation by YubHub