AI Engineer
Build and ship internal AI tools, agents, and automated workflows embedded with Stripe's Solutions Architecture team to accelerate sales productivity, customer engagements, and GTM operations. Requires 4+ years production engineering experience, AI/LLM tool building, and strong backend fundamentals.
About the job
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
Skills
Ruby, Node.js, Python, Next.js, AWS, GCP, LLMs, AI Agents, Backend Engineering, DevOps
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