Founding Engineer

The role

We are hiring a Founding Engineer.

This is not a narrow specialist role. You will be the first engineer alongside the founders, and you will touch everything: building Hive, deploying it into real companies, mapping workflows, shipping production features, debugging issues, and improving the system until it works reliably in the real world.

This is not a role where you wait for perfect specs.

You need to be comfortable taking ambiguity, asking good questions, working with AI agents, and getting to good working code quickly.

What you will do

• Build core parts of Hive alongside the founders.
• Deploy AI-native workflows, internal tools, and agent-powered systems into real companies.
• Work directly with the founding team in-person from our Dubai office.
• Translate real business problems into practical implementation plans.
• Use coding agents heavily to move faster and produce better work.
• Orchestrate multiple AI agents at once when needed.
• Go deep into implementation details when needed, and stay high-level when needed.
• Ask sharp questions after thinking through the problem with your own tools and agents.

What we are looking for

We care less about your CV and more about how you think, what you have built, and how strong your AI-native workflow is.

You should be:

• Strong at engineering fundamentals.
• An all-rounder who can move across the stack and across problems.
• Already using coding agents seriously.
• Comfortable showing how you prompt, plan, review, and implement with agents.
• Fast without being careless.
• Detail-oriented enough to be trusted with real production systems.
• Clear in communication with both technical and non-technical people.
• Low-ego, practical, and easy to work with.
• Comfortable in a startup where speed matters a lot.
• Able to work in-person with us every day in Dubai.

AI-native expectations

You should have at least 6+ months of serious hands-on experience using coding agents.

We want to see how you actually work. You should be able to explain your full AI stack, including:

• Orchestrator
• Coding agents
• Models
• Tools
• Libraries
• Skills
• Prompting patterns
• Review workflows
• Any custom setup that helps you move faster or produce better work

We are especially interested in how you reach consensus with an agent before implementing, how you catch bad outputs, how you test work, and how you get to working code that does not break.

Compensation

13,000 - 20,000 AED per month.

Equity allocation of 0.5% to 1%.

How to apply

Apply with the form at the bottom of this page. You will need:

• Full name
• Email
• Phone number
• Portfolio link, GitHub, or personal website
• traces.com session link showing a non-sensitive coding agent session
• Your full AI stack
• 2-3 projects you have built that best show your ability
• A short note on why this role is interesting to you

Applications missing required links or details will not be reviewed.

We do not need a traditional CV. We care much more about what you have built, how you think, and how you work with AI.

Interview process

1. 01

   Application review

   We review your projects, traces.com session, and AI stack. We are looking for evidence that you can use AI agents well, think clearly, and get to working implementation.

2. 02

   15-minute screening

   This is mostly about culture, communication, and how you think. We want to understand how you handle ambiguity, speed, tradeoffs, and startup pressure.

3. 03

   Technical interview

   You will work through a realistic repo and implementation task that mimics the kind of work we do at Nairon. We care less about memorized algorithms and more about how you:

   • Clarify requirements
   • Use coding agents
   • Break down the problem
   • Review generated code
   • Test the result
   • Explain tradeoffs
   • Recover when something goes wrong
4. 04

   Build simulation

   You will work on a realistic, messy problem of the kind we solve every week. The goal is to see whether you can take something unclear and turn it into something useful, working, and reliable.