AI Engineer

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 across technical discovery, solution design, demoing, user engagements, territory/pipeline management, and product interlock
• 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

Minimum Requirements

• 4+ years of experience as an engineer shipping production systems
• Strong backend engineering fundamentals: debug a failing system, 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; translate technical decisions for non-technical stakeholders
• Comfort with ambiguity: scope engineering work and ship iteratively without waiting for a perfect spec

Preferred Qualifications

• 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—or a product engineering role where you worked closely with customers or go-to-market teams
• 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