The opportunity
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom.
What you'll do
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.
+ years of experience in software engineering, with proven expertise in: designing, building, and maintaining production services using a microservices architecture.
What they're looking for
- Hands-on experience building LLM-based applications or AI/ML systems in: production, including prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks.
- Proficiency in Python and Golang (or comparable backend languages), with: experience integrating third-party AI models and APIs into production workflows.
- Track record of delivering end-to-end projects with measurable business impact in ambiguous problem spaces.
- Experience building data pipelines, integrating with external vendors, or: working with large-scale unstructured data sources (e.g., blockchain data, customer interaction logs).
