Founding Forward Deployed Engineer - Enterprise Agentic AI

Mission

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, 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 a Forward Deployed Engineer (FDE) to be the vanguard of the WorkOS mission. This is a role for a heretic: someone who cares more about solving the problem and delivering value than following a rigid spec. You will be the bridge between our core AI engine and the messy high‑stakes reality of our customers.

As an FDE, you aren’t sitting in the back office; you are on the front lines embedded with internal Careem verticals and external enterprise partners. In partnership with your implementation squad, consisting also of business transformation consultants, you will identify their deepest friction points and build the special ops code that proves the power of WorkOS. Your work is the proof of concept that will redefine how the region works.

Tip of the Spear – Lead the deployment of WorkOS in the field. You will be responsible for understanding a customer’s operational chaos and architecting an AI‑driven solution that fixes it in weeks, not months.

Rapid‑Fire Execution – Build, iterate and ship. You will write high‑quality full‑stack code to create bespoke integrations and augment our platform’s core capabilities and create custom agents. This goes beyond context engineering; you’ll build the connective tissue by integrating bespoke APIs, setting up RAGs and Evals, tuning the E2E system and performance, and architecting multi‑agent handoffs.

Feedback Loop Mastery – You are the eyes and ears of the product team. You will translate field‑tested insights into core product requirements, ensuring WorkOS remains grounded in real‑world utility.

Winning Stakeholders – Act as the technical face of WorkOS. You’ll need to win the trust of stakeholders, navigate complex enterprise hierarchies and persuade skeptics by shipping results that speak for themselves.

Technical Versatility – One day you’re setting up a RAG pipeline the next you’re debugging a legacy enterprise API or designing a custom dashboard. You do whatever is necessary to make the solution land.

• 5–8 years of high‑octane engineering experience. You are likely a senior‑level engineer who is hungrier than your peers and bored by traditional slow‑moving dev cycles.
• FDE Pedigree – Experience in forward‑deployed, mission‑driven environments such as Palantir, high‑growth startups or specialised consultancy where you worked directly with customers.
• Full‑Stack Polyglot – Mastery of the modern stack (React, TS, Python, Node) with the ability to jump into any codebase and be productive on day one.
• AI Fluidity – Strong working knowledge of LLMs, prompt engineering, and agentic frameworks. You don’t just know the theory; you know how to make AI work in production.
• Excellent Communication – You can explain complex AI logic to a CEO and then pivot to a deep‑dive session with an infrastructure lead without missing a beat.
• Relentless Bias for Action – You are a builder who values shipping over perfection and has a founder‑level sense of ownership.
• Willingness to work on‑site full time in UAE with occasional travel to be embedded with regional partners.

A Blank Canvas and Live Ammunition – The rare opportunity to build a 0‑to‑1 product while immediately deploying it into the real‑world operations of a regional…