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Senior Backend Software Engineer (Platform, Core AI Automation)

Exclusive opportunity

Onsite

Senior Backend Software Engineer (Platform, Core AI Automation)

Coinbase

Senior Backend Software Engineer (Platform, Core AI Automation)

Skills

BlockchainMongoDBDockerPythonGolangMicroservicesPostgreSQLMachine LearningAICompliance

1 month ago

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Important information


Contract type:

Permanent

Salary:

$186,065 – $218,900 / year

Location:

United States

Work mode:

Onsite

Published on:

28 September 2026

What they need


  • As a Senior Software Engineer on the Platform Core Automation team, you’ll build the AI infrastructure and agentic systems that automate customer support and compliance operations at Coinbase
  • This team is reimagining what these processes look like when AI handles them end-to-end, replacing manual workflows with intelligent agents that resolve customer issues and execute compliance tasks autonomously
  • You’ll own the design and delivery of LLM-powered systems, grounding techniques, and integration pipelines that directly reduce resolution times, cut costs, and improve accuracy across millions of customer interactions
  • Own the design and delivery of agentic AI systems that power Coinbase’s customer support and compliance automation, from LLM orchestration through production deployment and monitoring
  • Build scalable, secure backend infrastructure in Python and Golang that serves AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks
  • Drive end-to-end project execution on complex AI initiatives, making technical trade-offs across latency, accuracy, cost, and reliability
  • Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational pain points into AI-powered solutions
  • Strengthen engineering quality across the team by leading code reviews, mentoring engineers on AI system design patterns, and contributing to on-call rotations and incident response- Proficiency in Python and Golang (or comparable backend languages), with experience integrating third-party AI models and APIs into production workflows
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
  • Track record of delivering end-to-end projects with measurable business impact in ambiguous problem spaces
  • Hands-on experience building LLM-based applications or AI/ML systems in production, including prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks
  • Experience building data pipelines, integrating with external vendors, or working with large-scale unstructured data sources (e.g., blockchain data, customer interaction logs)
  • 5+ years of experience in software engineering, with proven expertise in designing, building, and maintaining production services using a microservices architecture
  • Experience navigating rapid company growth (e.g., from startup to mid-size)
  • Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB
  • Background in AI/LLM infrastructure is a strong plus

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