Founding Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Founding Engineer (AI): Building Hive, a platform for AI employees that operate end-to-end within existing company tools with an accent on AI-native workflows and agent orchestration. Focus on translating complex business problems into production-ready AI systems and shipping features rapidly in a startup environment.
Location: Must be based in or able to work in-person daily in Dubai, UAE
Salary: 13,000 - 20,000 AED per month + 0.5% to 1% equity
Company
is an AI startup building Hive, a platform for AI employees that handle end-to-end work inside the tools companies already use.
What you will do
- Build core components of the Hive platform alongside the founders.
- Deploy AI-native workflows and agent-powered systems into real companies.
- Translate complex business problems into practical technical implementation plans.
- Heavily utilize coding agents to accelerate development and improve output quality.
- Orchestrate multiple AI agents simultaneously to solve operational challenges.
- Handle everything from high-level architecture to deep implementation and debugging.
Requirements
- Must be able to work in-person every day from the Dubai office.
- Strong engineering fundamentals with an all-rounder ability to move across the stack.
- 6+ months of serious hands-on experience using coding agents.
- Ability to demonstrate a full AI stack, including orchestrators, models, and prompting patterns.
- Comfortable with ambiguity and high speed in a startup environment.
- Clear communication skills for both technical and non-technical interaction.
Culture & Benefits
- Equity allocation of 0.5% to 1%.
- Direct collaboration with a second-time founding team with a track record of raising and scaling.
- Low-ego, practical environment where speed and impact are prioritized over corporate processes.
- Opportunity to shape the engineering culture and product from the ground up.
Hiring process
- Application review based on projects, AI stack, and coding agent sessions.
- 15-minute screening call focused on culture and communication.
- Technical interview using a realistic repository and implementation task.
- Build simulation involving a messy, real-world production problem.
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