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# Staff Software Engineer

- **Company:** Coinbase, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $253,895.0 - $298,700.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Distributed Systems, Software Engineering, Workflow Management Systems, Large Language Models, Backend, Virtual Agents, Software Coding, Golang
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-staff-software-engineer-core-automation-coinbase-7697655

## About the Role

* 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.

## Description

* 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


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