AI Engineer

Stripe

CHICAGO · US

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Full-time

MID

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About the Role

Stripe is seeking an AI Engineer to join their Solutions Architecture team. The role focuses on building internal tools, agents, and automation to improve SA productivity. The engineer will work on LLM-powered tools, backend systems, and custom solutions for strategic customers.

Responsibilities

Collaborate with Solutions Architects, SA leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into well-defined deliverables.
Evaluate and integrate AI capabilities (LLMs, agents, workflow automation) where they provide genuine leverage for measurable productivity improvement.
Architect and build internal tools, agents, and automated workflows that accelerate SA and manager productivity.
Take high-potential tools and workflows built by SAs and managers and harden them into scalable, maintainable, production-grade solutions.
Identify patterns across SA workflows and proactively build solutions that address recurring friction.
Build custom demo environments, PoC applications, and technical assets for Stripe's most strategic customer engagements.
Document tools, architectures, and usage patterns so others can adopt and extend what you've built.
Debug, extend, and maintain backend systems across a variety of codebases and infrastructure.

Requirements

Stripe

South San Francisco · US · 9913+ employees

Stripe is an Irish and American multinational financial services and SaaS company that provides payment-processing software and application programming interfaces (APIs) for e-commerce websites and mobile applications. It is the largest privately owned fintech company, helping businesses of all sizes accept payments and manage online commerce.

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4+ years of experience as an engineer shipping production systems.
Strong backend engineering fundamentals: ability to debug failing systems, trace issues across services, and reason about data flows.
Experience building and deploying AI agents, LLM-powered tools, or workflow automation beyond basic prompt engineering.
Experience scoping and delivering work with minimal oversight in a fast-moving, cross-functional environment.
Proficiency in at least two of: Ruby, Node.js, Python, or Next.js.
Familiarity with cloud infrastructure (AWS, GCP) including deployment, monitoring, and basic DevOps.
Experience building internal tools, developer platforms, or workflow automation.
Demonstrated ability to work across multiple codebases and technology stacks simultaneously.
Hands-on experience using AI/LLM tools in your engineering workflow.
Strong written and verbal communication skills.
Comfort with ambiguity and ability to scope engineering work from loosely-defined business problems.

Nice to Have

Experience designing systems that non-engineers can build on top of or extend themselves (e.g., platforms, low-code frameworks, template systems).
Experience in a Solutions Engineering, Sales Engineering, or GTM Engineering role.
Familiarity with Stripe's products, APIs, or the payments/fintech domain.
Experience integrating with third-party platforms (Salesforce, Gong, etc.).
Track record of building tools or systems that were adopted beyond your immediate team.
Background in consulting, professional services, or other roles that blend technical depth with business context.