Remote Staff Software Engineer - AI Developer Productivity

Coinbase, Inc.

Austin (TX)

Hybrid

USD 218,000 - 257,000

Full time

3 days ago
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Job summary

Coinbase seeks a founding Staff Software Engineer on the AI Developer Productivity team within the Institutional Product Group. You will design and deliver agentic AI workflows that transform how Institutional engineers write, review, and ship code, shaping how code is produced in regulated financial systems.

You will own the architecture for AI-powered tooling, integrate LLM-powered agents into the engineering lifecycle, and collaborate with Platform's AI and DevX teams to balance reliability,

Qualifications

  • 8+ years of software engineering experience.
  • 2+ years building AI/LLM-powered developer tools or code automation systems.
  • Fluency in Java, Python, Go or similar backend languages; experience with AI agent frameworks.

Responsibilities

  • Own architecture and delivery of agentic AI workflows for continuous code improvement.
  • Build productivity tooling that integrates LLM-powered agents into the engineering workflow.
  • Partner with Platform's AI and DevX teams to align infrastructure while meeting Institutional requirements.
  • Drive adoption of AI-assisted development across Institutional engineering and measure impact.
  • Shape standards for human-AI development ensuring safe, governed use of AI in high-stakes financial systems.

Skills

AI/LLM-powered development
Agentic workflows
Code automation
Java
Python
Go
Cross-functional collaboration

Tools

LangChain
LangGraph
Custom agent architectures

Job description

Coinbase seeks a founding Staff Software Engineer on the AI Developer Productivity team within the Institutional Product Group. You will design and deliver agentic AI workflows that transform how Institutional engineers write, review, and ship code, shaping how code is produced in regulated financial systems.

You will own the architecture for AI-powered tooling, integrate LLM-powered agents into the engineering lifecycle, and collaborate with Platform's AI and DevX teams to balance reliability,

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