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Salary: USD 186,065 - 218,900 / annual
Coinbase is seeking a Senior Software Engineer to join the Platform Core Automation team, building AI infrastructure and agentic systems that automate customer support and compliance operations. This role focuses on designing and delivering LLM-powered systems that replace manual workflows with intelligent agents capable of resolving customer issues and executing compliance tasks autonomously across millions of interactions.
Key responsibilities include:
- Owning the design and delivery of agentic AI systems for customer support and compliance automation, from LLM orchestration through production deployment and monitoring
- Building scalable, secure backend infrastructure in Python and Golang that serves AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks
- Driving end-to-end project execution on complex AI initiatives, making technical trade-offs across latency, accuracy, cost, and reliability
- Partnering with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational pain points into AI-powered solutions
- Strengthening engineering quality by leading code reviews, mentoring engineers on AI system design patterns, and contributing to on-call rotations and incident response
Coinbase is a remote-first company with quarterly in-person "surge" sessions for intensive collaborative work. The environment is high-intensity and mission-driven, focused on increasing economic freedom through cryptocurrency and blockchain technology.
REQUIREMENTS:
- 5+ years of software engineering experience with proven expertise in designing, building, and maintaining production services using microservices architecture
- 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)
- Ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
NICE TO HAVES:
- Experience navigating rapid company growth (startup to mid-size)
- Familiarity with GenAI frameworks/tools, Docker, Postgres, MongoDB
- Background in AI/LLM infrastructure
