QAI Lab

Full-Stack Software Engineer (AI, SaaS & IoT)

Company: QAI Lab
Location: Remote initially / Doha, Qatar after probation
Employment Type: Full-time
Work Arrangement: Remote during the first 3 months; on-site in Doha thereafter
Probationary Period: 3 months
Department: Software Engineering & AI Development
Experience: 3+ years preferred
Relocation: Offered following successful completion of the probationary period
Accommodation: Provided by the company after relocation

About QAI Lab

QAI Lab is a technology and artificial intelligence company based in Doha, Qatar, specializing in AI-powered applications, SaaS platforms, custom software development, intelligent automation and IoT solutions.

We develop innovative technology products and customized solutions for businesses, combining modern software engineering, artificial intelligence, cloud infrastructure and connected hardware.

Position Overview

We are looking for a skilled and versatile Full-Stack Software Engineer to design, develop, deploy and maintain modern web applications, SaaS platforms, mobile applications and AI-powered solutions.

The ideal candidate should have strong frontend and backend development skills, experience with modern UI/UX, databases, APIs and server infrastructure, as well as an understanding of AI integration and IoT technologies.

The position starts as a fully remote role for an initial three-month probationary period. During this time, the candidate will work remotely while collaborating with the QAI Lab team and contributing to active development projects.

Following successful completion of the probationary period, and subject to mutual agreement, QAI Lab will offer the opportunity to relocate to Doha, Qatar, and continue working from the company's office on a full-time, on-site basis.

The successful candidate will participate in the complete development lifecycle, from concept and architecture to implementation, testing, deployment and maintenance.

Key Responsibilities

1. Full-Stack & SaaS Development

• Develop modern, responsive web applications and SaaS platforms.
• Build frontend interfaces, backend services, APIs and database architectures.
• Implement authentication, user management and role-based access control.

• Develop scalable applications and integrate third-party services.

   

2. AI & Automation

• Integrate AI models, LLMs and AI APIs into applications.
• Develop AI assistants, chatbots, agents and intelligent automation workflows.
• Work with RAG, vector databases and AI-powered business solutions.

• Use modern AI-assisted development tools.

   

3. Mobile Application Development

• Develop cross-platform applications for iOS and Android.
• Integrate mobile applications with backend services and APIs.

• Prepare applications for App Store and Google Play deployment.

   

4. Hardware & IoT Integration

• Develop software solutions integrating hardware, IoT devices and embedded systems.
• Work with Raspberry Pi, ESP32, Arduino and similar platforms.
• Integrate sensors, cameras, controllers and connected devices.
• Work with MQTT, HTTP, WebSockets, Bluetooth, Wi-Fi and other communication protocols.
• Develop IoT dashboards, remote monitoring and device management systems.

• Integrate AI with hardware and edge computing solutions.

   

5. UI/UX & Product Design

• Create modern, professional and intuitive user interfaces.
• Implement responsive designs and reusable component libraries.
• Work with Figma and modern UI frameworks.

• Ensure high standards of usability and visual quality.

   

6. Server Infrastructure & Deployment

• Deploy and maintain applications on Linux servers and cloud infrastructure.
• Work with Docker, Nginx, Git and CI/CD pipelines.
• Configure domains, DNS, SSL and production environments.

• Manage application monitoring, backups, security and troubleshooting.

   

Required Technical Skills

• Frontend: JavaScript, TypeScript, React, Next.js, HTML, CSS and Tailwind CSS.
• Backend: Node.js and/or Python, REST APIs and backend architecture.
• Databases: PostgreSQL and relational database design.
• Mobile: React Native or Flutter.
• AI: OpenAI, Anthropic or similar AI APIs; local LLM, RAG and AI agents.
• Infrastructure: Linux, Docker, Nginx, Git/GitHub and application deployment.
• IoT & Hardware: Raspberry Pi, ESP32, Arduino, sensors and hardware-software integration.

• UI/UX: Figma, modern design systems and responsive interface development.

   

Qualifications & Experience

• Bachelor's degree in Computer Science, Software Engineering, IT or equivalent practical experience.
• 3+ years of professional software development experience preferred.
• Demonstrated experience developing and deploying complete applications.
• Strong understanding of frontend, backend, databases and APIs.
• Experience with AI integration and modern development tools.
• Practical experience with Linux servers and application deployment.
• IoT and hardware integration experience is a strong advantage.

• Portfolio of completed projects or GitHub repositories.

   

Additional Advantages

• Experience with AI agents, computer vision and edge AI.
• Experience with industrial IoT and automation systems.
• Knowledge of MQTT, Modbus or CAN bus.
• Experience with cloud platforms such as AWS, Azure or Google Cloud.

• Familiarity with Cursor, Claude Code, OpenAI Codex or GitHub Copilot.

   

Personal Attributes

• Strong analytical and problem-solving skills.
• Ability to work independently and take ownership of projects.
• Passion for software engineering, AI and emerging technologies.
• Ability to learn new technologies quickly.
• Good communication, teamwork and attention to detail.

• Ability to work effectively in a remote environment with regular communication and progress reporting.

   

Employment Structure, Relocation & Benefits

Stage 1 – Remote Probationary Period (First 3 Months)

• Fully remote work from the candidate's current country of residence.
• Three-month probationary period.
• Participation in QAI Lab projects and development activities.
• Regular communication, task management and performance evaluation.
• Assessment of technical skills, work quality, productivity and compatibility with the team.

• Business trips to Doha and other countries if needed

   

Stage 2 – Relocation to Doha, Qatar

Following successful completion of the probationary period, QAI Lab will offer the opportunity to relocate to Doha, Qatar, subject to mutual agreement.

The relocation package will include:

• Relocation assistance to Doha.
• Company-provided accommodation.
• Employment visa and Qatar residency sponsorship, subject to applicable regulations.
• Full-time, on-site employment at the QAI Lab office.
• Opportunities to work on innovative AI, SaaS, IoT and software development projects.

• Professional development and exposure to modern technologies.

   

The relocation arrangement, employment terms and applicable benefits will be discussed and agreed upon before relocation.

Salary and additional benefits will be discussed based on experience and qualifications.

How to Apply

Interested candidates should submit:

• Updated CV / Resume.
• Portfolio or examples of previous projects.
• GitHub profile (if available).
• Brief summary of experience in software development, AI and IoT.