Staff Software Engineer, Backend - Platform (Core AI Automation)

Coinbase

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$218,025–$256,500 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k
This role $237k
$166k most similar roles pay here $266k

This role pays more than 73% of similar roles. Most pay $176,000–$238,250 — the shaded band above. At the midpoint, this role pays about $237k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 58 open roles on FindRole.

Listed pay typically runs $215,177–$253,150 across 50 roles with salary data.

Most-posted roles

View all roles at Coinbase

At a glance

TL;DR · Staff Software Engineer, Backend - Platform (Core AI Automation)

As a Staff Software Engineer, Backend - Platform (Core AI Automation), you will join the Core Automation team within the Platform group to architect and build Agentic AI systems. You will be responsible for designing intelligent agents, orchestration frameworks, and measurement systems that transform customer support and compliance processes into an AI-driven environment. Your daily work involves defining technical directions for distributed systems, building reusable primitives for scalable automation, and developing foundational APIs to ensure LLM-based applications remain grounded and reliable. The role requires extensive experience in software engineering, specifically with distributed systems and production AI/ML applications. You will utilize expertise in orchestration layers, evaluation frameworks, and guardrails to reduce hallucinations. This position focuses on the technical challenge of building scalable infrastructure for automated operations across multiple domains beyond initial compliance and support functions.

What you'll do

  • Architect and build Agentic AI systems for compliance automation and internal operations.
  • Design foundational APIs and measurement frameworks to ensure AI agents remain grounded and reliable.
  • Lead the technical direction and roadmap for distributed systems underpinning AI automation.
  • Build reusable primitives and orchestration solutions to scale AI capabilities across multiple company domains.
  • Develop guardrails to minimize hallucinations and ensure high-quality customer experiences at scale.
  • Mentor engineers on AI system design, coding standards, and production-readiness for LLM applications.

What we're looking for

  • 8+ years of experience in software engineering.
  • Demonstrated experience architecting distributed systems and shipping production AI/ML applications.
  • Experience working with LLM-based applications including measuring grounding, reducing hallucinations, and building guardrails.
  • Deep expertise designing APIs, orchestration layers, and evaluation frameworks for agentic AI systems at scale.

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