Full Stack Engineer

Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires. Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive.

We operate in 70+ cities across 10 countries, from Morocco to Pakistan.

We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster.

We believe the transformative potential of AI is significantly under‑realised in our region. To bridge this gap, we are incubating a new division within Careem dedicated to Enterprise AI Transformation. We are reimagining and building the future of work to simplify and improve how businesses function in the era of GenAI with WorkOS: a next‑generation ‘operating system’ designed to deploy, orchestrate, and improve AI agents across every customer and operational journey (and increasingly autonomously).

This isn’t just automation; it’s about creating a hybrid workforce where self‑learning AI agents handle the heavy lifting, empowering our people to focus on the highest‑value, most creative work.

This group operates as a startup within Careem with a distinct mandate: move fast, build boldly, and deliver production‑grade AI systems that fundamentally change how the region leverages technology.

We are looking for an exceptional founding Full‑Stack Engineer to build the WorkOS platform. This is a role for a systems‑thinker who wants to work at the intersection of high‑scale distributed systems and AI orchestration. You will be responsible for building the ‘brain’ of WorkOS, the engine that deploys and manages autonomous agents across the region’s most complex operational journeys at massive scale.

As one of the first engineers in WorkOS, you will have a disproportionate impact on our technical foundation, culture, and the speed at which we move from 0 to 1.

• Architect and Build the WorkOS Engine:
  Design and build the scalable backend services and frontend architectures required to orchestrate complex AI workflows and real‑time data streaming.
• Define AI-Human Interaction:
  Partner with Design and Customers to create intuitive interfaces for ‘agentic’ work, moving beyond static forms into dynamic, canvas‑based, or generative UI powered by robust APIs.
• Full‑Cycle Ownership:
  Own the lifecycle of the platform, from rapid prototyping of new agent capabilities to maintaining production‑grade systems at enterprise scale.
• Drive AI‑Accelerated Engineering:
  Constantly experiment with AI‑assisted development to move faster than traditional teams, while maintaining a bar for superb technical quality and craft.
• Lead Pioneer Deployments:
  While building the core platform, you will occasionally lead the charge on first‑of‑their‑kind implementations for strategic partners, ensuring our tech solves real‑world operational complexity.
• Operate with High Agency:
  In this lean, startup‑style environment, you will be responsible for outcomes over inputs, rolling your sleeves up to code and balancing investments in the long‑term technical roadmap with the need to ship value quickly.

• 8–12+ years of professional full‑stack engineering experience: with a track record of acting as a technical lead or founding engineer in high‑growth environments.
• Mastery of the modern stack:
  Deep expertise in frontend frameworks (React/Type Script) paired with strong experience in backend languages (Node.js, Python, or Go) and distributed systems.
• AI‑Native engineering mindset:
  Hands‑on experience integrating LLMs, managing real‑time streaming data, and building/consuming agentic frameworks and RAG…