C
Coinbase
Staff Backend Software Engineer (Platform, Core AI Automation)
Skills
Machine LearningAICustomer SupportCompliance
2 months ago
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Important information
Contract type:
Permanent
Salary:
$218,025 – $256,500 / year
Location:
United States
Work mode:
Onsite
Published on:
29 August 2026
What they need
- As a Staff Software Engineer on the Core Automation team within the Platform group, you’ll architect and build the Agentic AI systems that are transforming how Coinbase operates.
- This team is reimagining customer support and compliance processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and measurement systems that deliver delightful customer experiences at scale.
- You’ll own the technical direction for production AI systems, working across cross-functional teams to bring this vision to reality while building primitives that scale automation across the company
- Architect and build Agentic AI systems that power Coinbase’s compliance automation and other Operations, from intelligent agents through orchestration and guardrails
- Design foundational APIs and measurement frameworks that ensure AI agents are grounded, relevant, and reliably deliver customer delight with minimal hallucination
- Lead technical direction for distributed systems underpinning AI automation, defining architecture patterns and strategic roadmaps in partnership with engineering leadership
- Build reusable primitives and orchestration solutions that enable AI-powered automation to scale across multiple domains beyond the initial customer support and compliance focus
- Mentor engineers on AI system design techniques, coding standards, and production-readiness practices for LLM-based applications- Deep expertise designing APIs, orchestration layers, and evaluation frameworks for agentic AI systems at scale
- 8+ years in software engineering with demonstrated experience architecting distributed systems and shipping production AI/ML applications
- Experience working with LLM-based applications, familiarity with - measuring and improving grounding, reducing hallucinations, and building guardrails for reliability
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