Staff Software Engineer, AI Developer Tools

Coinbase, Inc.

Atlanta (GA)

Remote

USD 218,000 - 257,000

Full time

3 days ago
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Job summary

Coinbase is seeking a Founding Staff Software Engineer on the AI Developer Productivity within the Institutional Product Group. You will build agentic AI workflows to transform how Institutional engineers write, review, and ship code, owning the design and delivery of AI-powered capabilities.

This role focuses on integrating AI tooling across engineering workflows, ensuring reliability, security, and regulatory compliance, while partnering with cross-functional teams to scale adoption in a

Qualifications

  • 8+ years of software engineering experience, including 2+ years building AI/LLM-powered developer tools or code automation systems.
  • Proven track record delivering production-grade systems that integrate AI agents into software development lifecycles (code generation, reviews, CI/CD).
  • Fluency in backend languages (Java, Python, Go) and experience with AI agent frameworks.

Responsibilities

  • Own architecture and delivery of agentic AI workflows for continuous code improvement.
  • Build developer productivity tooling that integrates AI agents into the engineering workflow from review to deployment.
  • Collaborate with Platform's AI and DevX teams to align infrastructure while customizing for Institutional needs.
  • Drive adoption of AI-assisted development practices across Institutional engineering and measure impact on velocity and quality.
  • Shape standards for human-AI collaboration, ensuring safe and governed use of AI in high-stakes systems.

Skills

Java
Python
Go
AI/LLM workflows
Code automation

Tools

LangChain
LangGraph

Job description

Coinbase is seeking a Founding Staff Software Engineer on the AI Developer Productivity within the Institutional Product Group. You will build agentic AI workflows to transform how Institutional engineers write, review, and ship code, owning the design and delivery of AI-powered capabilities.

This role focuses on integrating AI tooling across engineering workflows, ensuring reliability, security, and regulatory compliance, while partnering with cross-functional teams to scale adoption in a

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