Staff Software Engineer - AI DevTools for Finance

Coinbase, Inc.

Santa Fe (NM)

Remote

USD 218.000 - 257.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Coinbase, Inc. is seeking a founding Staff Software Engineer for the AI Developer Productivity team within the Institutional Product Group.

You will design and deploy AI-powered workflows that enhance how Institutional engineers write, review, and ship code, focusing on reliability, security, and regulatory needs. You'll own the architecture for agentic AI tooling, integrate LLMS with CI/CD, and collaborate with Platform AI and DevX teams to scale adoption across hundreds of engineers while

Qualifikationen

  • 8+ years of software engineering experience.
  • Experience building AI/LLM-powered developer tools.
  • Deep fluency in Java, Python, Go.
  • Ability to partner with platform, infra, and product teams.

Aufgaben

  • Own the architecture and delivery of agentic AI workflows for continuous code improvement tailored to Institutional systems.
  • Build developer productivity tooling that integrates LLM-powered agents into the engineering workflow.
  • Partner with Platform's AI and DevX teams to align infrastructure while customizing capabilities for Institutional reliability, security, and regulatory requirements.
  • Drive adoption of AI-assisted development practices across Institutional engineering, measuring impact on velocity and quality.
  • Shape technical standards and best practices for human-AI collaboration in high-stakes financial systems.

Kenntnisse

Software engineering
AI tooling
Backend languages
LangChain/LangGraph
Cross-functional
Regulated environments

Tools

LangChain
LangGraph
CI/CD tooling

Jobbeschreibung

Coinbase, Inc. is seeking a founding Staff Software Engineer for the AI Developer Productivity team within the Institutional Product Group.

You will design and deploy AI-powered workflows that enhance how Institutional engineers write, review, and ship code, focusing on reliability, security, and regulatory needs. You'll own the architecture for agentic AI tooling, integrate LLMS with CI/CD, and collaborate with Platform AI and DevX teams to scale adoption across hundreds of engineers while

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