Coinbase
Staff
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.
Step into this interview
Free · a live voice mock calibrated to this exact role
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?
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