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# Staff Software Engineer, Backend - Platform (Core...

- **Company:** Coinbase, Inc.
- **Location:** Carson City, NV, United States
- **Experience:** Expert
- **Salary:** $218,025.0 - $256,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Distributed Systems, Machine Learning, Software Engineering, Large Language Models, Backend, Kubernetes, Virtual Agents, Software Coding
- **Published:** August 26, 2026
- **Apply:** https://www.juju.com/job/00000000gp7b8x

## About the Role

* 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

 * Deep expertise designing APIs, orchestration layers, and evaluation frameworks for agentic AI systems at scale

## Description

As a Staff Software Engineer on the Core Automation team within the [Platform](https://www.coinbase.com/careers/product-groups) 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.

*What you'll do:*

 * 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


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