AI Engineer II

Sezzle

AI Engineer II building AI-powered systems for financial technology company Sezzle. Collaborating across teams to enhance customer experience and automate workflows with AI solutions.

Posted 7/21/2026full-timeRemote • 🇨🇴 ColombiaMid-LevelSenior💰 $3,333 - $6,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI-powered systems, with a strong focus on full-stack development and operational excellence. Proven ability to translate complex business problems into scalable technical solutions while mentoring team members and driving collaboration across departments.

Highest-signal resume keywords

AI-Powered System DesignFull-Stack DevelopmentPython ProficiencyExperience with Claude or Equivalent ToolsDistributed Systems Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI EngineeringPlatform EngineeringSystem DesignProduction RolloutData WorkflowsAPIsFrontend FrameworksSQLIntelligent Automation

Soft Skills

CollaborationMentoringProblem SolvingAdaptability

Tools & Technologies

ReactAI ToolsInternal PlatformsOperational Workflows

Industry Keywords

AI IntegrationSystems ThinkingReliabilityPerformanceSecurity

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, 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.

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 is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Flexible work hours
Professional development opportunities