Staff Software Engineer, AI-Driven Dev Tools (Remote)

Coinbase, Inc.; Bismarck (ND); À distance; USD 218 000 - 257 000; Plein temps

Avantages offerts par ce poste

Equity

Bonus eligibility

Medical, dental, vision

401(k)

Résumé du poste

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

You will own AI-powered workflows that transform how institutional engineers write, review, and ship code, aligning with Coinbase's AI tooling vision and strict regulatory requirements. You’ll collaborate across Platform AI, DevX, and Institutional teams to drive adoption, measure velocity and quality impacts, and set standards for human-AI collaboration in

Qualifications

• 8+ years of software engineering experience, with 2+ years building AI/LLM-powered developer tools or code automation.
• Proven track record shipping production-grade systems integrating AI agents into software lifecycles.
• Fluency in Java, Python, Go or similar backend languages; hands-on with AI agent frameworks.

Responsabilités

• Own architecture and delivery of agentic AI workflows for continuous code improvement, incl. automated refactoring, test generation, and proactive bug detection.
• Build developer productivity tooling that integrates LLM-powered agents into the Institutional engineering workflow.
• Partner with Platform's AI and DevX teams to align on shared infrastructure while tailoring capabilities for Institutional reliability and security.

Connaissances

Software engineering

AI/LLM tooling

Java, Python, Go

Cross-functional partner

Regulated environments

Outils

LangChain

LangGraph

Custom agent architectures

Description du poste

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

You will own AI-powered workflows that transform how institutional engineers write, review, and ship code, aligning with Coinbase's AI tooling vision and strict regulatory requirements. You’ll collaborate across Platform AI, DevX, and Institutional teams to drive adoption, measure velocity and quality impacts, and set standards for human-AI collaboration in