AI Engineer II

Sezzle

AI Engineer II developing and owning AI-powered platforms for Sezzle's fintech offerings. Collaborating across teams to drive solutions and enhance the customer experience.

Posted 7/21/2026full-timeRemote • 🇮🇳 IndiaMid-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 and full-stack solutions, with a strong focus on enhancing customer experiences and operational workflows. Proven ability to lead complex projects from inception to production, leveraging AI technologies to drive productivity and innovation.

Highest-signal resume keywords

AI-Powered System DesignFull-Stack DevelopmentPython ProficiencyExperience with Claude or Large Language ModelsDistributed Systems Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLReactAI System DevelopmentFull-Stack DevelopmentSystems ThinkingData Workflow ManagementAutomation ImplementationAPI DevelopmentProduction Rollout

Soft Skills

Problem-SolvingCollaborationAdaptabilityCommunication

Industry Keywords

AI EngineeringPlatform EngineeringInternal PlatformsCustomer Experience EnhancementOperational Workflows

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.

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

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Sezzle Website LinkedIn All Job Openings 201 - 500 employees Founded 2016 💳 Fintech 👥 B2C 🛍️ eCommerce Fintech
B2C
eCommerce Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform. AI Engineer II 🔥 4 minutes ago 🇮🇳 India – Remote 💵 $3.3k - $6k / month ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Distributed Systems Python React SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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. 🎯 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.
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.
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