Full Stack Engineer – Dubai, UAE

Location: Dubai, UAE (Hybrid / Onsite)
Employment Type: Full-Time

About the Role

We’re looking for a passionate Full Stack Engineer to join our growing team in Dubai. You’ll play a key role in designing, developing, and deploying scalable web applications that power next-generation AI-driven solutions. This is an opportunity to work in a fast-paced, product-led environment where your ideas directly shape the product experience.

Key Responsibilities

Design and build end-to-end web applications across the frontend, backend, and cloud infrastructure.
Develop clean, reusable, and high-performance code following best engineering practices.
Collaborate closely with the product and design teams to translate requirements into functional features.
Integrate APIs, databases, and third-party services to deliver seamless, data-driven user experiences.
Implement AI and LLM-powered features (e.g., OpenAI, Anthropic, Gemini, LangChain, PyTorch).
Maintain CI/CD pipelines, deployment scripts, and ensure application reliability and scalability on AWS or other cloud platforms.
Participate in technical reviews, architectural decisions, and mentor junior engineers when needed.

Technical Skills

Frontend: React, Next.js, TypeScript, Tailwind, GraphQL
Backend: Python, FastAPI, Django, Node.js, REST APIs, PostgreSQL
Cloud / DevOps: AWS, Docker, Kubernetes, Terraform, CI/CD (GitHub Actions, Jenkins)
AI / Data: Experience integrating AI models (OpenAI, Anthropic, HuggingFace, or similar APIs)
Version Control: Git, GitHub, GitLab

Requirements

3–6 years of hands-on experience building full-stack web applications.
Strong understanding of software architecture, microservices, and RESTful APIs.
Proven experience deploying applications on AWS or GCP.
Prior exposure to startups or product-driven environments is highly preferred.
Ability to take ownership, move fast, and thrive in an agile setup.
Excellent communication and problem-solving skills.

Nice to Have

Experience working with AI, data pipelines, or LLM integrations.
Familiarity with serverless architecture and containerized deployments.
Interest in building products from scratch or scaling early-stage systems.