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Sezzle

Financially empowering the next generation of consumers.

AI Engineer II

AI EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 201-500Since 2016H1B SponsorCompany SiteLinkedIn

Location

Brazil

Posted

109 days ago

Salary

0

Seniority

Senior

Job Description

AI Engineer II

Sezzle

• Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up. • Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration. • Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams. • Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value. • Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces. • Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions. • Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms. • Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption. • Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices. • Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.

Job Requirements

  • 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
  • Hands-on experience designing, building, and shipping AI-powered systems into production environments.
  • Strong proficiency in Python, SQL, and frontend frameworks such as React.
  • Proven experience designing and owning production-grade full-stack systems.
  • Experience working with distributed systems, internal platforms, or complex data workflows.
  • Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

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