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AI Engineer

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AI Engineer in USA

  • Chicago, IL

Responsibilities

  • Collaborate with Solutions Architects, leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into deliverables.
  • Evaluate and integrate LLMs, agents, and workflow automation for measurable productivity improvements.
  • Build internal tools, agents, and automated workflows for technical discovery, solution design, demos, customer engagements, pipeline management, and product interlock.
  • Harden SA- and manager-built tools into scalable, maintainable, production-grade solutions.
  • Identify recurring workflow friction and build reusable solutions that scale across the organization.
  • Build custom demo environments, proof-of-concept applications, and technical assets for strategic customer engagements.
  • Document tools, architectures, and usage patterns for broader adoption.
  • Debug, extend, and maintain backend systems across multiple codebases and infrastructure.

Requirements

  • At least 4 years of experience as an engineer shipping production systems.
  • Strong backend engineering fundamentals, including debugging failing systems, tracing issues across services, and reasoning about data flows.
  • Experience building and deploying AI agents, LLM-powered tools, or workflow automation beyond basic prompt engineering.
  • Experience independently scoping and delivering work in a fast-moving, cross-functional environment.
  • Proficiency in at least two of Ruby, Node.js, Python, or Next.js.
  • Familiarity with AWS or GCP cloud infrastructure, including deployment, monitoring, and basic DevOps.
  • Experience building internal tools, developer platforms, or workflow automation.
  • Ability to work across multiple codebases and technology stacks simultaneously.
  • Hands-on experience using AI and LLM tools in engineering workflows while retaining independent debugging and problem-solving ability.
  • Strong written and verbal communication skills and ability to explain technical decisions to non-technical stakeholders.
  • Comfort defining, scoping, and iteratively shipping solutions for ambiguous business problems.
  • Preferred: experience with extensible platforms, low-code frameworks, or template systems.
  • Preferred: Solutions Engineering, Sales Engineering, GTM Engineering, or customer- and go-to-market-facing product engineering experience.
  • Preferred: familiarity with Stripe products, APIs, or payments and fintech.
  • Preferred: experience integrating third-party platforms such as Salesforce and Gong.
  • Preferred: track record of building tools adopted beyond the immediate team.
  • Preferred: consulting, professional services, or other technical roles with strong business context.

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.

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