Lead Product Engineering (AI)

Location: Abu Dhabi, United Arab Emirates

Company

Inception42, a hirify.global company, develops AI-powered domain-specific and industry-agnostic products by applying research, data, and compute infrastructure to real-world solutions.

What you will do

• Own engineering execution for an assigned product or major platform area across planning, development, release, and production support.
• Lead and coach a product-engineering squad while setting expectations for quality, ownership, delivery, and technical standards.
• Translate product priorities and acceptance criteria into engineering backlogs, estimates, sprint goals, and release plans.
• Guide architecture and implementation across services, APIs, integrations, user workflows, and reusable platform capabilities.
• Partner with Product, Design, Data & AI, Platform, Security, and Delivery to turn prototypes and requirements into secure, observable production features.
• Ensure code reviews, automated testing, CI/CD, release readiness, observability, incident response, risk management, and technical-debt reduction are part of execution.

Requirements

• Experience leading software engineers to deliver and operate a production product or major platform area.
• Strong technical judgment in architecture, system design, code review, debugging, and production operations.
• Experience with APIs, distributed systems, cloud platforms, integrations, security, and observability.
• Practical experience owning engineering backlogs, sprint execution, releases, and production readiness.
• Ability to balance product scope, engineering quality, speed, reliability, and technical debt.
• Evidence of resolving dependencies and driving cross-functional execution with minimal process overhead.
• Track record of coaching engineers and establishing clear technical ownership and engineering standards.
• Clear communication with product, engineering, AI, security, and delivery stakeholders.

Nice to have

• Experience shipping AI-powered products, agent platforms, copilots, workflow systems, or developer platforms.
• Exposure to RAG, AI evaluation, grounding, safety, model observability, latency, or inference cost management.
• Experience with sovereign, regulated, hybrid, or on-premises deployments.

Culture & Benefits

• Open, diverse, and inclusive environment with a global vision.
• Personal growth through structured training programs and high-tech projects.
• Learning, development, and career growth opportunities.
• Competitive remuneration package with healthcare, education support, leave benefits, and other perks.