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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.
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 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.
Qualifications
- 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.
- [Nice to have] Exposure developing AI systems, automation, or agentic workflows.
- [Nice to have] Familiarity with CI/CD, cloud infrastructure, or observability tooling.
- [Nice to have] Strong interest and excitement in leveraging AI to meaningfully improve developer productivity and engineering velocity for a broader engineering organization.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
