Lead Product Engineering

G42 is hiring a Lead Product Engineering in Abu Dhabi, United Arab Emirates. Level rates it ; you can apply on G42.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include RAG and AI evaluation.
Level classifies it as a lead role.
Level lists 59 other open roles at G42.
The role was posted in the last few days.

AI in this role

ragai-evaluation

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception42.ai

Overview:

We are looking for a Product Engineering Lead to own engineering execution for an assigned product or major platform area. You will turn product priorities into production-ready software and help your squad deliver predictably, with high quality.

The role combines technical leadership, team development, and delivery accountability. You will work with Product, Design, Data & AI, Platform, Security, and Delivery to resolve trade-offs and take capabilities from backlog through release and reliable operation.

Responsibilities:

What You’ll Own

Own engineering execution for an assigned product or platform area, including planning, development, release, and production support.
Lead and coach a product-engineering squad; set clear expectations for quality, ownership, and delivery.
Turn prioritized requirements and acceptance criteria into a refined engineering backlog, estimates, sprint goals, and release plans.
Guide architecture and implementation across services, APIs, integrations, user workflows, and reusable platform capabilities.
Partner with Product and Data & AI to turn prototypes and requirements into usable, secure, observable production features.
Ensure code reviews, automated testing, CI/CD, release readiness, observability, and incident response are part of team execution.
Own engineering risks, technical debt, product reliability, defects, and performance improvements.
Resolve cross-team dependencies and contribute reusable capabilities to shared platforms rather than duplicating work.
Track sprint and release outcomes, delivery predictability, and quality; surface blockers and trade-offs early.

Qualifications:

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 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.

What We Look ForIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception42 community. What Working At Inception42 Offers Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

How we rate this

Lead Product Engineering at G42 rates 69 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Lead Product Engineering is an open job at G42.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Abu Dhabi, Abu Dhabi, United Arab Emirates.
The job was posted on October 21, 2026.
Seniority: lead.
Applications are handled by G42. Apply on G42

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI Evaluation

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide that one model's output is better than another's for a given task?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG and AI Evaluation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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