Full Stack AI Engineer

Flatgigs; Dubai; On-site; AED 240,000 - 420,000; Full time

Job summary

Flatgigs in the UAE seeks two highly capable Full-Stack AI Developers to join a technology venture backed by a respected UAE conglomerate. You will own end-to-end delivery of AI-enabled features, from rapid prototyping to production-ready implementations, building agentic workflows and scalable cloud-based applications.

Ideal candidates have hands-on experience with LLMs, workflow automation, API design, and modern AI frameworks, with strong frontend, backend, and cloud infra skills across AWS,

Qualifications

• Hands-on experience building AI-native products.
• Experience with LLMs, prompt orchestration and AI workflows.
• Full-stack development across web, backend and cloud.

Responsibilities

• Own end-to-end delivery of new user-facing features.
• Prototype rapidly and ship production-ready implementations.
• Design and orchestrate AI workflows and prompts.
• Build scalable AI-powered applications across cloud platforms.

Skills

Python

React

TypeScript

Next.js

Node.js

Express

Cloud (AWS/Azure/GCP)

LLMs

AI workflows

API design

Web & mobile dev

Job description

Our client is a newly formed technology venture backed by one of the UAE’s most established family-owned conglomerates and a fast-growing technology company.

The business was created with a clear mission: to digitalise, automate, and connect operations across a diversified group of companies with a strong legacy in the UAE market. The wider group has decades of operating history and a portfolio spanning travel and tourism, logistics and delivery, real estate, car rental, and food and beverage.

Our focus is to build practical, scalable technology products that solve real operational challenges across these businesses - from connecting systems and automating workflows to launching new digital platforms that improve efficiency, customer experience, and commercial performance.

These products will first be built and proven within a live business ecosystem, then taken to market as commercial solutions for wider industries. This gives the team a unique opportunity to work on technology that has immediate real-world use, strong business backing, and long-term market potential.

ABOUT THE ROLE

We are looking for two highly capable Full-Stack AI Developers with proven experience building AI-native products and intelligent automation systems from the ground up.

The ideal candidates should be comfortable working across the full stack and owning end-to-end delivery of new user-facing features, from rapid 0-to-1 prototyping to production-ready implementation. This includes building agentic AI workflows, real-time collaborative experiences, and scalable AI-powered applications.

Candidates must have hands-on experience working with LLMs, workflow automation, prompt orchestration, API design/integration, and modern AI development frameworks. Strong engineering fundamentals across frontend, backend, and cloud infrastructure are essential.

You should be confident working with relational and NoSQL databases, designing scalable architectures, and deploying applications across cloud environments such as AWS, Azure, or GCP.

Experience across web, backend, and mobile application development is required.

TECHNOLOY EXPERTISE REQUIRED

• Python for backend development, automation, AI integrations, and workflow orchestration

• React, TypeScript, and Next.js for building scalable, responsive, and high-quality web applications
• Node.js, Express for backend services, API development, and real-time application logic
• Cloud infrastructure across AWS, Azure, or GCP, including deployment, scalability, monitoring, and production operations
• Experience integrating these technologies into AI-native products, real-time systems, and end-to-end digital platforms

PREFERRED EXPERIENCE

• 08 Years of Experience in Full Stack Engineering including Web & Mobile Development
• Building and delivering web and mobile applications across the full product lifecycle
• Integrating LLMs into real-world applications, including prompt design, AI tooling, and orchestration
• Designing agentic AI workflows, automation pipelines, and AI-enabled business processes
• Developing real-time systems, collaborative features, and event-driven applications
• Building and consuming REST APIs, WebSockets, and microservices-based architectures
• Working with LLMs, vector databases, RAG pipelines, embeddings, and AI search/retrieval systems
• Implementing CI/CD pipelines, scalable deployments, cloud-native infrastructure, and production-grade engineering practices
• Taking ownership of features end to end - from architecture and development to deployment, monitoring, and iteration