Senior Staff Software Engineer, Core Automation

As a Senior Staff Software Engineer on the Core Automation team within Platform, you'll architect and build the Agentic AI systems that are reimagining how Coinbase delivers customer support and manages compliance at scale. This team is focused on automating high-volume operational processes with AI, then building the primitives and orchestration platform that let every domain at Coinbase leverage those capabilities. You'll own the technical vision for production AI systems that directly improve customer experience, strengthen compliance posture, and drive outsized efficiency gains.

What you'll do:

• Own the design and implementation of Agentic AI systems powering Coinbase's customer support and compliance automation
• Architect a reusable platform of primitives, orchestration tools, and interfaces that enable other teams to adopt Agentic AI for their domains
• Drive cross-functional alignment with product, compliance, and operations stakeholders to translate business needs into scalable technical solutions
• Lead technical strategy for getting LLM-based applications from prototype to production, including grounding, hallucination reduction, and reliability at scale
• Mentor engineers across the team on system design, coding standards, and AI/ML best practices

Required Skills and Experience:

• 12+ years of backend software engineering experience, with deep proficiency in Golang or similar systems languages
• Proven track record shipping LLM-based or Agentic AI applications to production, including measurable improvements in grounding and hallucination reduction
• Demonstrated ability to architect distributed systems handling massive scale, with experience navigating ambiguous problem spaces to deliver high-impact solutions
• Experience partnering with non-technical stakeholders (compliance, operations, customer support) to define requirements and drive adoption of technical platforms
• Track record of influencing technical direction across multiple teams and mentoring senior engineers
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.