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Sezzle

AI Engineer II

Sezzle

AI Engineer II developing AI-powered platforms and systems for Sezzle. Leading complex projects and working in a fast-paced environment within a growing team.

Posted 7/21/2026full-timeRemote • 🇲🇽 MexicoMid-LevelSenior💰 $3,333 - $6,000 per monthWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI-powered systems, with a strong focus on full-stack development and the ability to translate complex problems into scalable solutions. Proven track record in mentoring team members and driving the adoption of AI capabilities in customer-facing products.

Highest-signal resume keywords
AI-Powered System DesignFull-Stack DevelopmentPython ProficiencyExperience with Claude or Equivalent ToolsDistributed Systems Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringAI EngineeringPlatform EngineeringPythonSQLReactFull-Stack Systems DesignProduction RolloutIntelligent AutomationOrchestration Systems
Soft Skills
MentoringCollaborationProblem-Solving
Industry Keywords
AI-Driven FeaturesInternal PlatformsComplex Data WorkflowsEnd-to-End DeliveryCustomer-Facing Products

Tech Stack

Tools & technologies
Distributed SystemsPythonReactSQL

About the role

Key responsibilities & impact
  • Lead the design, development, and ownership of AI-powered internal platforms and systems.
  • Own end-to-end delivery of complex projects, from problem discovery to production rollout.
  • Design and implement AI-driven features, intelligent automation, and orchestration systems.
  • Embed AI capabilities into customer-facing products, ensuring measured value delivery.
  • Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
  • Translate ambiguous problems into scalable, AI-enabled technical solutions.
  • Collaborate closely with teams to identify high-impact opportunities and drive adoption.
  • Mentor AI team members through code reviews, design feedback, and guidance.

Requirements

What you’ll need
  • 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.
  • Demonstrated experience working with Claude or equivalent large language model tools
  • Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work arrangements
  • Professional development