# AI Product Engineer (Full Stack) > Pavago · Pakistan (Remote) · — · Posted 2026-08-13 **Workplace:** remote **Department:** Candidate Sourcing ## Description ### **AI Product Engineer (Full Stack)** **AI/LLM Integration, Full-Stack Development & Product Engineering | Remote | U.S. Hours** **Position Type:** Full-Time, Remote **Working Hours:** U.S. Business Hours ### **About the Role** At Pavago, one of our clients is hiring an **AI Product Engineer (Full Stack)** to build and scale a production-ready web application from the ground up. This is a **hands-on product engineering role**, not a support or maintenance position. You’ll take ownership across the entire product lifecycle: - Frontend development - Backend architecture - AI/LLM integration - APIs and data infrastructure - Authentication and security - Deployment and performance - Product iteration and scaling You’ll work closely with leadership to turn product ideas into **working, production-ready software**, ship quickly, learn from real usage, and continuously improve the platform. If you’re a builder who can independently take an AI-powered product from **concept → MVP → production → scale**, this role is a strong fit. ### **What You’ll Own** ### **Full-Stack Product Development — End-to-End** Own development of the product from initial architecture through production deployment. You’ll: - Build and launch a production-ready web application - Own both frontend and backend development - Design intuitive, responsive product experiences - Build scalable application architecture - Translate product requirements into working features - Deploy, monitor, and improve the application - Continuously iterate after launch based on user feedback and product needs This role requires someone comfortable owning the **entire technical product**, rather than working within one narrow layer of the stack. ### **AI & LLM Integration** Design AI functionality that solves real product problems—not AI features added simply for novelty. You’ll: - Integrate LLMs such as **Claude or similar models** - Design AI-powered product workflows - Build reliable interactions between LLMs, application logic, and user data - Structure prompts and outputs for consistent product behavior - Handle edge cases and model failures - Implement safeguards and validation around AI-generated outputs You should understand practical LLM limitations, including: - Hallucinations - Unreliable outputs - Context limitations - Edge cases - Failure handling The goal is to build AI experiences users can actually rely on in production. ### **Backend Systems, APIs & Data Infrastructure** Build and manage backend infrastructure using **Supabase or similar platforms**. You’ll: - Design scalable APIs - Build efficient data models and structures - Manage application data and backend logic - Connect frontend experiences to backend services - Integrate external APIs and AI services - Optimize database queries and application performance - Build infrastructure capable of supporting continued product growth ### **Security, Authentication & Permissions** Build security into the product from the beginning. Implement and maintain: - Authentication - User permissions - Authorization logic - Data access controls - Secure API interactions - Data protection practices Ensure sensitive information is handled appropriately and that users only have access to the functionality and data they are authorized to use. ### **AI Agents & Automation** Where appropriate, build more advanced AI-powered systems such as: - AI agents - Multi-step AI workflows - Automated operational processes - Tool-calling workflows - AI-assisted decision systems Design these systems with appropriate validation and safeguards so automation remains reliable in real-world scenarios. ### **Product Collaboration & Rapid Iteration** Work directly with leadership to translate ideas into technical solutions. You’ll: - Understand product requirements and business objectives - Recommend practical technical approaches - Build prototypes quickly - Turn successful prototypes into production features - Ship frequently - Gather feedback - Refine functionality based on actual usage - Balance speed with long-term maintainability You should be comfortable operating where product requirements evolve and engineers are expected to contribute to **how a problem should be solved**, not simply execute tickets. ### **Debugging, Performance & Reliability** Own product quality after features are shipped. You’ll: - Diagnose and resolve bugs - Monitor system behavior - Improve application performance - Identify technical bottlenecks - Strengthen system reliability - Improve user experience based on production issues - Reduce technical debt as the platform matures ### **Required Experience & Skills** ### **Non-Negotiables** - Strong **full-stack engineering experience** across frontend and backend development - Proven experience **building and shipping production-level products** - Hands-on experience integrating **AI/LLMs into real applications** - Strong understanding of: - System architecture - API design - Data structures - Application performance - Experience with **Supabase or similar backend platforms** - Understanding of practical AI limitations, including: - Hallucinations - Failure states - Edge cases - Output validation - Strong knowledge of security best practices, including: - Authentication - Permissions - Data protection - Strong debugging and problem-solving ability - Ability to work independently and take **end-to-end ownership of product development** ### **Nice to Have** - Experience building **AI agents** - Experience designing AI automation workflows - Familiarity with **Claude or similar LLMs in production** - Experience building: - SaaS products - Operational platforms - Workflow applications - Experience taking products from **MVP to production** - Experience scaling applications after initial launch - Exposure to: - Aviation - Logistics - Membership systems ### **What Makes You a Strong Fit** You: - Are a **builder**, not just a feature contributor - Can take an idea and independently turn it into working software - Think across frontend, backend, data, AI, security, and infrastructure - Have shipped real products that users depend on - Understand that production AI requires more than calling an LLM API - Design around AI failure modes rather than assuming outputs will always be correct - Move quickly while maintaining strong engineering standards - Debug problems independently - Make thoughtful architecture decisions without overengineering - Enjoy working directly with leadership and translating business ideas into products - Take ownership from initial concept through production performance ### **What a Typical Day Looks Like** Your day may include: - Building a new frontend product experience - Designing backend logic and database structures - Integrating an LLM into a product workflow - Improving prompts, validation, or AI guardrails - Building APIs connecting product components - Configuring authentication and permissions - Debugging an issue discovered in production - Reviewing system performance and reliability - Discussing a new product idea with leadership - Rapidly prototyping a solution - Shipping a feature and monitoring how users interact with it - Improving architecture as product usage grows **In short:** you own the engineering behind an AI-powered product from idea to production and continuously make it faster, smarter, safer, and more scalable. ### **Key Metrics for Success** - Successful launch of a production-ready application - Speed and consistency of feature delivery - System stability and reliability - Application performance - Quality and usefulness of AI integrations - Effective handling of AI errors and edge cases - Reduction in bugs and recurring production issues - Scalability of application architecture - Maintainability and quality of the codebase - Ability to iterate rapidly based on real product feedback ### **Why This Role Stands Out** - Build an AI-powered product **from the ground up** - End-to-end ownership across the full technology stack - Direct involvement in product and architecture decisions - Hands-on exposure to production LLM systems - Opportunity to build AI workflows and agents around real-world use cases - Work directly with leadership - High autonomy and execution ownership - Opportunity to take a product from **MVP through production and scale** - Fully remote environment ### **Interview Process** 1. Initial Screening Call 2. Technical & Systems Design Interview 3. Practical Task – Product Build / AI Integration Scenario 4. Final Interview 5. Internal Review & Approval 6. Offer & Onboarding ### **Apply Now** If you: - Are a strong full-stack engineer - Have built and shipped real production products - Have hands-on experience integrating **LLMs into applications** - Understand AI hallucinations, edge cases, and guardrails - Can independently own frontend, backend, APIs, and infrastructure - Enjoy building products from zero rather than simply maintaining existing systems We’d love to hear from you. ### **Important: Spark Hire Video Interview** As part of our application process, qualified candidates will be invited to complete a **one-way video interview through Spark Hire**. This is your opportunity to introduce yourself and highlight your experience with **full-stack product development, production AI/LLM integrations, system architecture, APIs, Supabase or similar backend platforms, security, and product ownership**. We recommend discussing a product you have **personally built and shipped**, including your specific technical contribution, the architecture you chose, how AI was integrated, how you handled **hallucinations or failure states**, and how you took the system from initial development into production. Please complete your Spark Hire interview promptly after receiving the invitation. **Candidates who do not complete the video interview may not move forward in the hiring process.** **#AIProductEngineer #FullStackEngineer #AIEngineer #SoftwareEngineer #FullStackDeveloper #LLM #GenerativeAI #ClaudeAI #Supabase #SaaS #AIApplications #ProductEngineering #RemoteDeveloper #RemoteJobs #TechJobs #LI-AG1** ## Apply [Apply at Pavago](https://apply.workable.com/pavago/j/F280D10F6F/apply) --- Powered by [Workable](https://www.workable.com)