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Affirm

AI Solutions Engineer

Remote US (Remote)$220k–$280kmidAdded 1 month ago

About this role

As an AI Solutions Engineer at Affirm, you'll develop and maintain AI systems that enhance the People function, using a hands-on approach to address messy business challenges. The role involves collaborating with non-technical stakeholders to transform requirements into efficient production systems while managing the full software lifecycle.

What you'll do

  • Build and deploy AI agents, APIs, and applications on Affirm's internal platform.
  • Translate business requirements into production systems and integrate with existing tools.
  • Ensure AI systems run safely within security and data governance constraints.
  • Design reliability infrastructure for AI services and manage quality controls.
  • Collaborate with non-technical stakeholders to scope problems and make architecture decisions.
  • Maintain and troubleshoot production systems to keep them operational.

What they're looking for

  • Software engineering experience
  • Knowledge of CI/CD pipelines
  • Understanding of technical architecture
  • Proficiency in Python
  • Ability to translate technical and business needs
  • Experience in building and maintaining production applications
  • Familiarity with containerization
  • Systems thinking

Benefits

  • Visible impact on employee interaction with the People function
  • High level of autonomy within a small team
  • Work on innovative AI-powered projects
  • Fast-paced environment that emphasizes shipping solutions quickly
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Affirm

Affirm builds financial infrastructure and platforms that power point-of-sale lending, merchant operations, card issuance, and capital management at scale. The company is hiring backend engineers, AI solutions engineers, and infrastructure specialists to develop reliable, scalable systems for merchant platforms, payment processing, reliability monitoring, and capital orchestration.

Website
affirm.com
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Likely interview questions

  • Walk us through a production system you've built and deployed end-to-end. What was your role in architecture, containerization, and keeping it running?
  • Tell us about a time you had to navigate security or compliance constraints while building a feature. How did you work within those guardrails?
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