This is not a traditional engineering role with AI tools bolted on. The ideal candidate treats AI as central to the entire development lifecycle i.e. from architecture and prototyping through code generation, testing, and documentation. They excel at architecting software systems optimally structured for AI-assisted code generation: modular, well-separated codebases with clear interfaces, comprehensive type definitions, and explicit contracts that enable AI tools to generate high-quality, production-ready code.
This position requires strong full-stack expertise with frontend (React, Angular), backend (Node.js), cloud infrastructure (Azure, AWS), and database technologies, combined with hands-on experience integrating AI/ML capabilities into production systems and a deep understanding of how to structure code and workflows for AI collaboration.
PROJECT & TECHNICAL LEADERSHIP
Lead and manage multiple concurrent projects simultaneously - owning technical direction, delivery timelines, and quality outcomes across parallel workstreams
Break down complex initiatives into executable plans - features, milestones, dependencies, risks and drive them to completion
Coordinate and direct the work of other engineers and contractors across distributed teams (US, LATAM, India), ensuring consistent standards and velocity
Serve as the primary technical point of contact for assigned projects - providing status, surfacing risks early, and communicating tradeoffs to engineering leadership and product stakeholders
Conduct code reviews across projects, enforcing quality standards for both human-written and AI-generated code
Mentor engineers on AI-assisted development practices, architectural patterns, and delivery discipline
Balance hands-on execution with delegation - knowing when to build, when to direct, and when to unblock others
ESSENTIAL DUTIES & RESPONSIBILITIES
Design, build, and maintain full-stack applications using React, Angular, and Node.js across EZCORP's digital product portfolio
Solve complex problems related to scalability, reliability, performance, and reusability
Work with Product Managers, UX Designers, and engineers to understand and refine features using agile methodologies
Establish industry-standard QA automation - leveraging AI to generate test plans, unit tests, and automation suites in parallel with development
Support the build and management of backend infrastructure including integrations with third-party vendors and internal platform services
Contribute to a maintainable, high-quality, performant codebase structured for both human maintainability and AI-assisted extensibility
Explore, assess, and prototype new technologies to drive innovation and problem solving
Actively engage in product and technical discussions for feasibility and adherence to overall roadmaps and architectural strategy
AI ENGINEERING & AI-ASSISTED DEVELOPMENT
Leverage AI coding tools (Claude Code, GitHub Copilot) as primary accelerators for development, code review, and refactoring
Prototype and validate solutions rapidly using AI-assisted development compressing proof-of-concept cycles from weeks to days
Design and integrate AI/ML capabilities into platform services, including:
LLM integration (Azure OpenAI, Gemini, Claude) for intelligent features and automation
Computer vision workflows (e.g., product identification, document scanning)
Vector search and RAG pipelines (Azure AI Search, pgvector) for semantic search and data matching
Intelligent data processing and workflow automation
Build and maintain agentic workflows and AI-augmented pipelines that operate within defined governance and human-in-the-loop controls
Follow and contribute to EZCORP's AI governance standards - code generation guardrails, review requirements, and documentation practices
Ensure quality and security of AI-generated code through rigorous review - AI accelerates, humans validate
Stay current on emerging AI tools, models, and practices; recommend and drive adoption where beneficial
PRODUCTION OPERATIONS & RELIABILITY
Support production operations and reliability for team-owned systems
Participate in on-call rotation and incident response for assigned applications
Conduct root cause analysis for production issues and implement preventive measures
Monitor application performance using observability tooling (Datadog, Dynatrace), identify optimization opportunities, and implement improvements
EDUCATION & EXPERIENCE
7+ years of software development experience, including
3+ years building production applications with React and/or Angular
3+ years developing backend services using Node.js
2+ years leading projects or technical workstreams — coordinating engineers, managing delivery, and owning outcomes
Demonstrated experience managing multiple concurrent projects and shifting priorities without dropping quality or timelines
Demonstrated hands-on experience using AI coding tools (Claude Code, GitHub Copilot) in real production workflows and not just experimentation
Experience integrating AI/ML capabilities into production systems — LLM APIs, computer vision, vector search, or intelligent automation
Experience designing APIs, data models, and system interfaces with explicit contracts that enable AI tools to generate correct implementations
Experience with Azure and AWS services preferred
Experience with mobile development (React Native, iOS/Android) preferred
Experience in the financial services or retail industry preferred
Experience working with distributed/offshore teams preferred
Strong architectural thinking and ability to design systems that balance human maintainability with AI-assisted extensibility
Excellent communication and collaboration skills, including ability to explain architectural decisions to technical and non-technical stakeholders and mentor others on AI-assisted development
Bachelor's or Master's degree in Computer Science / Computer Engineering, or equivalent experience
EZCORP is an Equal Opportunity Employer
