Own agentic AI architecture for customer support and compliance automation at Coinbase

Coinbase is hiring a Senior Staff Software Engineer for its Core Automation team within Platform, to architect and own the agentic AI systems and orchestration platform that power customer support and compliance automation at scale. The role demands 12+ years of backend experience (Golang or similar), a proven track record shipping LLM-based applications to production with measurable hallucination reduction, and cross-team technical leadership. Practice defending specific production AI architecture decisions and how you drove adoption across teams.

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Likely format

Coinbase publicly discloses use of an AI tool for an initial screening interview round in addition to human interview rounds.

What this interview tests

Agentic AI / LLM systems in production at scale
Grounding and hallucination reduction with measurable results
Distributed systems architecture (Golang) for high-volume automation
Building reusable platforms/orchestration primitives for other teams
Cross-functional alignment with compliance/operations and technical leadership

Common question themes

Walk through architecting a distributed system that had to handle massive scale.

Tell me about taking an LLM-based or agentic application from prototype to production, including grounding/hallucination work.

Describe designing a reusable platform or orchestration layer for other teams to adopt.

How have you partnered with compliance or operations stakeholders to shape a technical solution?

Give an example of influencing technical direction across teams without direct authority.

How do you mentor senior engineers on system design and AI/ML best practices?

How candidates describe it

Real Senior Staff Software Engineer interview stories — retold from candidates' public write-ups, with sources.

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Interviewed January 2023 · Not specified

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