We're looking for aFull-Stack AI Engineerwho builds production AI systems using Claude Code as a primary development tool.
This role is for someone who combines strong full-stack engineering fundamentals with hands-on experience shipping AI-powered products, automations, and intelligent workflows into real environments.Claude Code is not optional here.
You use it daily, you know how to get the most out of it, and it makes you meaningfully faster and better than engineers who do not.
On top of that, you can design and build across the full stack, from backend services and APIs to frontend interfaces and AI integration layers, and you take ownership of systems end to end without needing close direction.If you build full-stack AI systems, ship automations that actually run in production, and use Claude Code as a core part of how you engineer, this role is built for you.Why You'll Want to JoinYou will be paid inUSD(bi-monthly: every 15th and 30th)Paid Time Offin accordance with company policyObservance ofHolidaysper company guidelines100% remote setupso you can work wherever you're most productiveHigh-ownership engineering role with direct impact on product and AI infrastructureOpportunity to design and ship AI-powered systems from the ground upDirect collaboration with product and engineering leadershipWhat You'll Work OnClaude Code and AI-Assisted DevelopmentUse Claude Code as your primary development tool for writing, refactoring, debugging, and shipping production codeLeverage Claude Code to accelerate full-stack development without sacrificing quality or maintainabilityBuild editor utilities, automation scripts, and internal tooling using Claude Code workflowsContinuously push the limits of what Claude Code enables across the stackFull-Stack AI System DevelopmentDesign and build full-stack AI systems including automations, intelligent workflows, AI agents, and LLM-integrated productsIntegrate AI services, LLMs, and automation layers into both backend and frontend systemsBuild guardrails, monitoring,



and fallback mechanisms that keep AI systems reliable in productionOptimize prompt architecture, model usage, and system performance across live environmentsBackend and API ArchitectureDesign and build scalable backend services, APIs, and data models that power AI featuresArchitect clean service layers connecting AI components with application logicEnsure performance, security, and long-term maintainability across the full stackFrontend and Product IntegrationDevelop and maintain frontend features and user-facing interfaces connected to AI systemsCollaborate with product and design to translate requirements into robust, shippable systemsOwn features from initial architecture through deployment and iterationEngineering Standards and ScalabilityWrite clean, well-tested, maintainable code that holds up at scaleContribute to CI/CD pipelines, observability, and deployment workflowsIdentify bottlenecks and propose automation or architectural improvements proactivelyWhat You Bring4+ years of professional software engineering experience with a strong full-stack backgroundClaude Code fluency: you use it daily in production and it is a core part of how you engineerDemonstrated experience building and shipping full-stack AI systems in production including automations, AI agents, or LLM-integrated workflowsStrong system design fundamentals including APIs, databases, and distributed systemsProduct-oriented mindset with strong ownership and the ability to execute without heavy oversightFull availability during US business hoursPreferred but not strictly required:Experience with TypeScript, Python,



or similar backend technologiesExperience with modern frontend frameworksExposure to cloud infrastructure such as AWS or GCPExperience with embeddings, vector databases, or retrieval systemsNice to HaveExperience building AI copilots, autonomous agents, or AI-assisted developer toolingFamiliarity with workflow automation platforms such as n8n, Make, or similarExperience with Replit for collaborative or cloud-based development workflowsExposure to DevOps or infrastructure-as-code practicesExperience building internal automation tools that reduce manual overhead at scaleHow to ApplyPlease include:Yourupdated resumeAshort Loom video (1 to 2 minutes)walking through a full-stack AI system you built in production, how you used Claude Code throughout the development process, and what the system actually doesOnly candidates who submit a Loom video will be moved to the next step of the hiring process.If you build full-stack AI systems that run in production, use Claude Code to ship faster and better, and want ownership over intelligent infrastructure that actually matters, this role gives you the technical depth and the autonomy to do your best work.Application Process OverviewOur comprehensive selection process ensures we find the right fit for both you and our clients:Initial Application- Submit your application and complete our prequalifying questionsVideo Introduction- Record an video introduction to showcase your communication skills and work experienceRole-Specific Assessment- Complete a homework assignment tailored to the position (if applicable)Recruitment Interview- Initial screening with our talent teamExecutive Interview- Meet with senior leadership to discuss role alignmentClient Interview- Final interview with the client team you'd be supportingBackground & Reference Check- Professional reference verificationJob Offer- Successful candidates receive a formal offer to join the teamEach stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations.
We'll keep you informed throughout the process and provide feedback at each step.

📌 Ai Engineer (Full-Stack) (Xico)
🏢 Hire Overseas
📍 Xico