Full Stack Engineer (AI Generation Platform)

At Naphora Games Group, we’re building more than games, we’re building a global team of ambitious, driven people who are hungry to learn, experiment, and raise the bar for the next generation of games.

We collaborate openly, move fast, and challenge ourselves every day to build better, smarter, and faster.

Our goal is to create world-class games that players around the globe love and remember. If you thrive in a high-performance, ownership-driven environment and want to make a real impact, you’ll fit right in with us.

About the role

We're hiring a Full Stack Engineer who has already built an AI content-generation product used by real customers, end to end: from the backend that runs the AI work to the web app people use every day.

We are building an AI generation platform for gaming: users and studios sign up, choose what they want to create, and generate content such as images, video, audio, 2D and 3D assets and ad creatives. You will build it across the stack: the generation pipeline and AI integrations behind it, and the product experience in front of it, from sign-up and credits to creating, reviewing and exporting content.

This is a fully remote role open to candidates in any location, working in alignment with our Saudi Arabia schedule (Sunday to Thursday, 9:00 AM to 5:00 PM KSA time).

What you'll do

Build the generation platform

• Design and build a client-facing AI generation product from early stages to production, across backend and frontend
• Put multiple AI models and providers behind one clean interface, with routing, fallback and failover between them
• Build post-processing layers that turn raw model output into a better, production-ready result, not a one-shot response
• Run generation as long-running, asynchronous jobs with queues or workflow engines, with retries, cancellation and per-step state

Build the product people use

• Build the web app: sign-up, onboarding, creation flows, live job progress, galleries, review and export
• Build credits, usage metering, subscriptions and payments, from the data model to the screens users see
• Make long AI jobs feel fast and clear to users, with good loading, progress and error states
• Work closely with design and product, and turn ideas into working features quickly

Own it in production

• Make architecture decisions that fit our real constraints: start simple, and split services only when there is a measurable reason
• Own monitoring, logging, alerting and incident response across the stack
• Keep releases safe through CI/CD, automated tests and backward-compatible database migrations
• Explain trade-offs clearly to Engineering, Product and leadership

What we're looking for

We care most about engineering judgment and proof that you have built this kind of product before, not about how many technologies you list.

• 5+ years of professional software engineering experience across backend and frontend
• You have built (not only maintained) an AI generation product used by real customers: people sign up or subscribe and generate images, video, audio, 2D or 3D assets, social content or ad creatives
• Hands-on experience integrating multiple AI providers or models in production, with fallback, retries and cost control
• Strong backend skills in Python, Node.js/TypeScript or Go, with PostgreSQL, queues and asynchronous jobs
• Strong frontend skills in React (Next.js or similar) and TypeScript, building fast, polished product interfaces
• Experience with credits, subscriptions or payments in a consumer or client-facing product
• Production experience with cloud environments, observability and CI/CD
• You can explain why you chose an architecture or technology, and when you would keep things simple instead
• Clear written and spoken English, and comfortable working remotely across time zones

Nice to have

• Founder, founding-engineer or solo-builder experience shipping your own AI product
• Media processing experience (FFmpeg, image and video pipelines, storage and delivery through a CDN)
• Experience with GPU inference or self-hosted models alongside third-party AI APIs
• Experience with games, creative tools or other high-scale consumer products

How to apply

Please include links to the AI products you have built and tell us what you personally built, on the backend and the frontend. A live product, real users or customer numbers, and a short note on one hard technical decision you made will help us most. Our interviews focus on real systems you have built, architecture trade-offs and production scenarios.

If this role excites you and you’re ready to help shape the future of game development at Naphora, we encourage you to apply.