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We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system. Plaid is evolving into an AI-first company, and Intelligent Tooling sits at the center of that transformation. The Intelligent Tooling team is being built from the ground up, and our mission is to establish the technical foundations, operating model, and internal platforms that embed AI deeply into Plaid’s coding tools, internal systems, and the entire software development lifecycle.When we are successful, engineers across Plaid will delegate lower-leverage work to AI agents, move faster with confidence, and spend more of their time designing and inventing for customers. Intelligent Tooling owns the platforms and systems that make this possible - from AI coding integrations and SDLC agents to the internal tools that power Plaid’s operations. As a Senior Software Engineer on the Intelligent Tooling team, you will build and operate internal systems that directly impact how engineers across Plaid do their work. This is a hands-on role with significant ownership, where success is measured by real adoption, reliability, and improvements to developer experience. You will work on AI-powered tooling, internal platforms, and developer workflows, collaborating closely with other engineers and cross-functional partners to ship durable, high-leverage systems.
Job Responsibility:
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 existing internal platforms
Own systems end-to-end, including production support and iterative improvement
Collaborate with teammates and stakeholders to deliver practical, high-impact solutions
Requirements:
5+ years of professional software engineering experience
Experience building and operating production systems
Hands-on experience using AI-powered developer tools
Strong problem-solving and collaboration skills
Nice to have:
Experience with developer tooling, internal platforms, or infrastructure
Exposure developing AI systems, automation, or agentic workflows
Familiarity with CI/CD, cloud infrastructure, or observability tooling
Strong interest and excitement in leveraging AI to meaningfully improve developer productivity and engineering velocity for a broader engineering organization