Founding Engineering Lead
Role Overview
RAXE builds self-hosted security and runtime evidence for AI agents, helping organizations understand agent actions and whether they stayed within intended authority.
The company is registered and based at DIFC AI Campus in Dubai.
The role works directly with the founder to turn customer needs and technical research into a reliable product.
This is an early-stage, hands-on role combining implementation with shaping engineering practices.
Key Skills for This Role
Full Job Posting
Role and product
RAXE builds self-hosted security and runtime evidence for AI agents, helping organizations understand agent actions and whether they stayed within intended authority.
The company is registered and based at DIFC AI Campus in Dubai.
The role works directly with the founder to turn customer needs and technical research into a reliable product.
This is an early-stage, hands-on role combining implementation with shaping engineering practices.
Work arrangement
- Dubai is stated as the company base; no specific work arrangement is stated for the role.
Engineering ownership
- Own backend services, APIs, integration architecture, SDK and sensor integrations, and deployment packaging.
- Own CI/CD, testing, production troubleshooting, and system performance, maintainability, and security.
- Develop AI-agent-supported engineering workflows with explicit verification.
- Assess and mentor future engineering hires.
AI-assisted engineering workflow
- Coordinate parallel agent workstreams, potentially involving around 12 coding, review, and triage agents; scale concurrency only while integration and review remain reliable.
- Prepare task briefs, acceptance criteria, and dependency tracking before work begins.
- Use isolated worktrees and appropriate permissions; worktrees alone are not a security boundary.
- Separate build and review responsibilities, bound review rounds, and escalate when fixes do not converge.
- Test the exact commit and intended scope; do not treat missing coverage, skipped checks, or empty inputs as proof of success.
- Integrate combined changes, make release decisions, and maintain rollback readiness.
- Keep concise status views, decision logs, and durable handovers; track delivery, escaped defects, review effort, and actual costs.
Candidate profile
- Production experience taking backend or systems software into service and supporting it afterward.
- Confidence with Python, APIs, Linux, and containers.
- Ability to explain architectural trade-offs and prioritize under uncertainty.
- Use of AI coding tools and ability to demonstrate verification of their output.
- Clear communication, accountability, and sound engineering judgment.
- Security, observability, distributed systems, or developer-tool experience is useful but not required in every area.
- No need to have managed exactly 12 agents; demonstrate how to scale the workflow safely.
Early success and hiring status
Early success means shipping a customer-relevant improvement, making deployment repeatable, and reducing the founder’s routine engineering involvement.
Hiring depends on funding; there is no confirmed start date.
The posting describes intended paid, full-time employment, but says compensation and working arrangements will be discussed before formal recruitment.
No salary range, equity, or visa or relocation arrangements are being offered at this stage.
Interested candidates are asked to share a profile and a short example of a system they built, their personal ownership, and how they verified it; confidential material should not be shared.
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