Staff AI Tooling Engineer - Internal Platforms & DevTools

Plaid Inc

San Francisco (CA)

On-site

USD 210,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Equity
401(k)
Medical, dental, vision

Job summary

Plaid Inc. is headquartered in San Francisco and is building AI-first engineering tooling to transform the software development lifecycle.

This Staff Software Engineer role focuses on internal systems that directly affect how Plaid engineers work, with significant ownership and a focus on adoption, reliability, and developer experience. You will work on AI-powered tooling, internal platforms, and developer workflows, collaborating closely with engineers and cross-functional partners to ship

Qualifications

  • 8+ years of professional software engineering experience.
  • Experience building developer tooling, internal platforms, or infrastructure.
  • Exposure to developing AI systems, automation, or agentic workflows.
  • Strong problem-solving and collaboration skills with leadership influence.
  • Interest in using AI to improve developer productivity and velocity.

Responsibilities

  • Design, build, and operate internal tools and services used by Plaid’s engineers.
  • Integrate AI-powered tools and workflows into core engineering processes.
  • Improve reliability, usability, and performance of internal platforms.
  • Own systems end-to-end, including production support and iterative improvement.
  • Collaborate with teammates and stakeholders to deliver practical, high-impact solutions.
  • Set technical direction for major areas and mentor other engineers.

Skills

Software engineering
Developer tooling
AI systems exposure
Collaboration
Leadership through influence

Tools

CI/CD
Cloud infra

Job description

Plaid Inc. is headquartered in San Francisco and is building AI-first engineering tooling to transform the software development lifecycle.

This Staff Software Engineer role focuses on internal systems that directly affect how Plaid engineers work, with significant ownership and a focus on adoption, reliability, and developer experience. You will work on AI-powered tooling, internal platforms, and developer workflows, collaborating closely with engineers and cross-functional partners to ship

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