Job DescriptionAbout Wedded Wonderland:
Wedded Wonderland is a premier in-house destination for all things weddings, celebrations, and unforgettable experiences. We create magical, immersive events and content that inspire couples and their communities. As we grow, we’re leveraging AI to make our operations smarter, faster, and more impactful—helping our team deliver wonder at scale.
The Role:
The Forward Deployed AI Engineer at Wedded Wonderland is an outcome-driven builder embedded within our internal operations. You design and ship AI-powered workflows that drive measurable impact across our teams, automating processes and improving efficiency across the business.
Success is defined by what you produce. You’ll have high autonomy, leverage cutting-edge AI tools and internal automations, and be rewarded for execution and results through output-aligned performance incentives.
What You’ll Do:
AI-Powered Workflow Engineering – Build and deploy AI-driven workflows that improve internal operations. Take full ownership of end-to-end development from concept to production, ensuring solutions deliver real, measurable outcomes.
Build with Maximum Leverage – Use the latest AI-assisted coding tools (like Claude Code, Codex, Cursor, etc.) to multiply your output and continuously refine workflows. The more high-impact solutions you ship, the more value you contribute to the organization.
Full Stack Development – Execute across front-end, back-end, and infrastructure, adapting quickly to different systems and internal tools. Contribute effectively within complex architectures and operational domains.
Systems Design & Agent Architecture – Design and build platforms that transform how Wedded Wonderland operates. Create reliable, auditable systems with intuitive UX that keep our team efficient and informed.
Continuous Learning & Knowledge Sharing – Work alongside exceptional internal builders solving real, complex problems. Share insights, refine workflows, and adopt new tools and techniques to accelerate AI adoption across the company.
Requirements
What You’ll Bring to the Team:
Strong Engineering Fundamentals – Design and ship clean, scalable systems, turning complex internal challenges into reliable, maintainable solutions.
AI-First Builder – Actively leverage AI tools to accelerate development, improve quality, and maximize impact.
Relentless Learner – Stay ahead of the fast-changing AI landscape, continuously refining skills, exploring new models, and bringing innovative ideas back to the team.
Operational Intensity – Thrive in a high-velocity environment, managing multiple internal projects while maintaining clarity, quality, and consistent output.
Force Multiplier – Elevate the performance of the team through mentorship, thoughtful communication, and proactive collaboration.
Benefits
Benefits:
Fully remote role
Competitive salary based on experience and performance
Opportunities to learn and grow as part of an AI-forward, innovative team
RequirementsStrong full-stack development skills Deep understanding of Relational Databases Demonstrable experience with the modern JavaScript ecosystem – ES6, React/JSX, Angular, Vue, or similar, Nodejs, NPM/Yarn Back-end/server-side JavaScript (Lambda/SAM, Serverless framework, Express APIs, etc) AWS knowledge - SQS, EC2, Lambda, RDS, CloudFormation Unix-based OS skills – OS maintenance, system upkeep, system configuration Understanding of security principles and active design guidelines against potential threats Ability to debug issues that manifest, from the customer level to the back-office Solid understanding of standard data formats and serialisation, data schemas, and maintaining data integrity Managing codebases using version control (Git), working with automated deployments and pipelines (continuous integration/delivery) Strongly Desired Experience: Working Cloudflare knowledge Experience with E-commerce systems (Magento, Shopify, etc) Experience working in an Agile environment: Kanban, Scrum, or similar frameworks Ideal candidates will also have: Java/JSP and related web application experience Retail/POS experience Microsoft 365 knowledge Google Workspace knowledge