Artificial Intelligence Engineer

Hiring: Cracked AI Engineers (Greenfield AI Fund Buildout) Location: Abu Dhabi Type: Full-time Stage: Greenfield, high-ownership build We're building from scratch inside an AI fund — not doing quant-y research, not writing decks, not debating theory. We're looking for cracked AI devs: engineers who are already using Claude Code + the latest AI-native techniques to build real software at lightning speed. This is a greenfield opportunity to define the stack, ship core systems fast, and help shape how modern AI-first products get built inside an investment + execution environment.If you're the type who treats AI like a superpower, not a feature... keep reading. What You'll BuildYou'll work directly on the fund's AI-native software layer — tooling, internal products, automation, and new venture prototypes. • AI-powered applications and workflows built from zero → production • Claude Code–driven development pipelines (agentic + iterative) • Full-stack systems that move insanely fast • Infrastructure + product foundations for long-term scale • Greenfield experiments that turn into real deployed software This is about shipping, not theorizing. Who You Are • You're already leveraging Claude / GPT tools as a serious dev multiplier • You build at startup speed and don't need heavy process • You're product-minded: prototypes become real systems • You're comfortable owning ambiguous problems end-to-end • You care more about output than meetings Must-Haves • Strong software engineering fundamentals • Proven ability to ship real systems quickly • Deep comfort with AI-assisted development (Claude Code ideally) • Builder energy + high agency • Excited by greenfield + ownership Nice-to-Haves • Agent workflows / orchestration experience • Open-source or visible side projects • Startup / zero-to-one background • Experience integrating LLMs into production software Why This Role • Greenfield build inside an AI fund • Small team, huge leverage • Move faster than almost any traditional org • Real ownership over stack + direction • Build at inference-speed, not corporate-speed