AI Full-Stack Developer / AI Engineer at Cubic Information Systems

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Job Description

AI Full-Stack Developer / AI Engineer
Web & Application Development
We are looking for a talented and highly motivatedAI Full-Stack Developer / AI Engineerto join us and take a hands-on role in developing innovative websites, web applications, mobile applications, and AI-powered digital solutions.
This position is ideal for a developer who combinesstrong programming fundamentals with practical knowledge of Artificial Intelligence and modern AI-assisted development tools.
Our objective is not traditional development involving unnecessarily long development cycles.

We are looking for someone who understands how to useAI, APIs, automation, existing frameworks, and modern development platforms to build high-quality products rapidly and efficiently.

Key Responsibilities
The successful candidate will be responsible for:
Developing professional websites, web applications, and mobile applications from concept to deployment.
Building complete applications including front-end, back-end, databases, APIs, authentication, payment integrations, dashboards, and administrative systems.
Integrating AI functionality into applications using leading AI models and APIs.
Developing AI-powered features such as intelligent assistants, chatbots, document analysis, automated workflows, search systems, recommendation tools, and AI agents.
Using AI-assisted coding tools to accelerate development while maintaining professional software-engineering standards.
Identifying existing APIs, frameworks, libraries, SaaS services, and open-source solutions that can significantly reduce development time.
Designing and integrating APIs between different platforms and applications.
Developing prototypes and MVPs rapidly and converting successful prototypes into reliable production applications.
Deploying and maintaining applications using modern cloud infrastructure.
Testing, debugging, monitoring, securing, and continuously improving developed applications.
Evaluating new AI technologies and determining how they can be commercially incorporated into new projects.

Requirements & Qualifications

JavaScript / TypeScript
Python
React / Next.js
Node.js and/or Python backend frameworks
REST APIs and third-party API integration
SQL and/or NoSQL databases
Git / GitHub
Cloud deployment and hosting
Practical experience integrating LLMs and generative AI into applications
Experience working with AI APIs and SDKs
Prompt engineering and structured outputs
RAG (Retrieval-Augmented Generation)
Vector databases / embeddings
AI agents and tool/function calling
AI workflow automation
Understanding of model selection, token usage, latency, reliability, and API costs
A Computer Science, Software Engineering, Artificial Intelligence, Computer Engineering graduate, or someone with equivalent demonstrated technical experience.
A strong programmer with practical AI development skills.
Capable of independently taking an idea from concept to a working product.
Resourceful and able to find efficient technical solutions rather than unnecessarily building everything from scratch.
Comfortable learning new AI technologies quickly.
Commercially minded and interested in creating useful, scalable digital products.
Able to work independently with limited supervision.
Strong in problem-solving, research, and troubleshooting.
Candidates whose experience is limited to basic website design or WordPress.
Developers with no practical AI/API integration experience.
Candidates who depend entirely on AI-generated code without understanding the underlying programming.
Pure data scientists or machine-learning researchers with no application-development experience.
Candidates who cannot independently build and deploy a working product.
CV / Resume.
GitHub profile, if available.
Portfolio or links to applications/websites you have developed.
Details of any AI-powered applications or systems you have built.
A brief description of the AI tools and development environments you currently use.
Your strongest programming languages/frameworks.
Current location and availability.
Expected salary.
An application they personally developed.
How they would build an AI-enabled application from idea to deployment.
Which components they would build themselves versus use through existing APIs/services.
How they use AI coding tools while maintaining code quality and security.
How they would develop an MVP quickly and subsequently make it production-ready.

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فرصة عمل كـ«AI Full-Stack Developer / AI Engineer» لدى Cubic Information Systems في القاهرة بنظام هجين، مناسبة لمستوى حديث التخرج. من أبرز ما ورد في الإعلان: • AI Full-Stack Developer / AI Engineer • Web & Application Development • We are looking for a talented and highly motivatedAI Full-Stack Developer / AI…

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