AI Engineer

EngineersOfAI; Chicago (IL); On-site; USD 100,000 - 130,000; Full time

Job summary

EngineersOfAI in Chicago is seeking an AI Engineer to enhance Solutions Architecture productivity through innovative tooling and automation. The role involves working closely with Solutions Architects to address business needs, ship code daily, and transform workflows. Candidates should have over 4 years of experience in engineering, with proficiency in coding languages, and experience deploying AI technologies.

You’ll collaborate to build scalable tools and solutions that meet technical demands. This is an opportunity to work at the intersection of engineering and business impact in a fast-paced environment.

Qualifications

• 4+ years of experience as an engineer shipping production systems.
• Experience delivering work with minimal oversight in a fast-paced environment.
• Familiarity with cloud infrastructure deployment and monitoring.

Responsibilities

• Collaborate with Solutions Architects to scope technical work.
• Evaluate and integrate AI capabilities for productivity improvement.
• Architect and build internal tools that accelerate productivity.

Skills

Backend engineering fundamentals

AI agents deployment

Ruby

Node.js

Python

GCP

AWS

DevOps

Job description

AI Engineer

Who We Are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About The Team

The Solutions Architecture (SA) organization helps Stripe's most strategic customers design and validate technical solutions that drive their business forward. Within SA, our team builds the tools, workflows, and custom technical assets that make the broader SA org more effective—turning individual ingenuity into org-wide capability.

We are looking for AI Engineers who are energized by working close to the business and the users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org—building production-quality tooling, supporting our most strategic engagements, and shipping automation that meaningfully improves how Solutions Architects work every day.

What You'll Do

As an AI Engineer, you'll be embedded directly with the Solutions Architecture team—building alongside them, deeply understanding their workflows, and shipping tools and automation that permanently change how they operate. Your measure of success is SA productivity: the engagements you've accelerated, the workflows you've transformed, and the tools you've built that the org adopts as default.

You’ll ship code daily. You’ll discover where SAs lose time and build high-impact solutions. You’ll take what works for one person and scale it to work for the org. And when our most strategic customer engagements need custom technical assets, you’ll build those too.

This is a role for someone who wants to work at the intersection of engineering and business impact—close to customers, close to revenue, and building for people you can see using your work every day.

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—not for novelty, but 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: you can 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