Full Stack Engineer
Job Description
Senior Full-Stack Engineer (AI-First Development)
Location: Dubai, UAE (On-site / Remote)Employment Type: Full-Time
Experience Level: Senior (5–7+ Years)
About the Role
We are looking for an exceptional Senior Full-Stack Engineer with strong AI capabilities to help build and scale our products end-to-end.
This is not a traditional software engineering role.
You will work across the full stack — from database architecture and backend systems to frontend experiences — in a highly execution-focused environment where AI coding agents (Claude Code and similar tools) are a first-class part of how we build and ship software.
We are looking for someone who has already delivered real production-grade software, is highly autonomous, product-minded, and comfortable moving quickly while maintaining a high bar for quality, scalability, and maintainability.
You will play a key role in shaping products from concept to deployment while helping define engineering best practices in an AI-first development environment.
What You'll Do
Full-Stack Product Development- Design, build, and ship full-stack features across a Python/Django backend and React/Next.js frontend.
- Own work end-to-end: data modeling, API design, frontend implementation, testing, deployment, and optimization.
- Architect scalable, maintainable, and secure software systems.
- Translate product requirements into clean, well-scoped, shippable technical solutions.
- Use AI/LLM tooling (Claude Code and similar) as a core part of your daily workflow to write, review, refactor, and accelerate software development.
- Apply AI practically and responsibly while maintaining a strong standard for correctness and code quality.
- Help design and improve AI-assisted engineering workflows, tooling, and automation.
- Evaluate and implement emerging AI capabilities where they create meaningful business value.
- Review code and help maintain a high engineering standard across the codebase.
- Mentor engineers and contribute to technical decision-making.
- Improve performance, reliability, scalability, and security across the stack.
- Collaborate closely with product, design, and leadership teams.
Required Qualifications
Core Engineering Experience- 5–7+ years of professional full-stack development experience
- Python
- Django
- REST API architecture
- ORM, migrations, testing, and scalable backend design
- React
- Next.js
- Modern hooks
- SSR/SSG
- App Router architecture
- PostgreSQL (or similar relational databases)
- Writing efficient queries and designing scalable schemas
- Git-based workflows
- Code review processes
- Automated testing
- Modern software development best practices
- Proven experience shipping real production software using AI/LLM tooling (Claude / Claude Code or equivalent) — not merely experimentation.
- Strong understanding of AI-assisted software development workflows.
- Experience leveraging AI tools to increase engineering velocity while maintaining software quality.
- Ability to distinguish meaningful AI implementation from hype.
- Strong communication skills.
- Comfortable working independently with minimal oversight.
- High ownership mentality and strong problem-solving ability.
- Ability to operate effectively in a fast-moving, startup-style environment.
- Hands-on DevOps experience
- Monitoring and automated deployments
- Experience with AWS
- Prompt engineering
- AI agent workflows
- LLM evaluation and guardrails
- RAG systems
- Workflow orchestration
- Experience scaling production applications and improving reliability/performance.
What We're Looking For
We care less about buzzwords and more about capability.
You are likely someone who:
- Builds quickly without sacrificing quality.
- Thinks in systems and solves problems pragmatically.
- Is highly autonomous and takes ownership.
- Uses AI as a force multiplier rather than a shortcut.
- Has shipped and maintained real software in production.
- Enjoys working in a high-growth, fast-moving environment.
- Opportunity to build meaningful products from the ground up.
- High ownership and direct technical influence.
- Work in an AI-first engineering environment using cutting-edge development workflows.
- Exposure to multiple ambitious products and business domains.
- Strong long-term growth opportunity.