Senior Developer - Full Stack (AIQ)

AIQ is an Abu Dhabi-based technology company that develops and deploys industrial artificial intelligence (AI) technologies at scale, focused on the energy sector. As a venture between Presight (G42) and ADNOC, AIQ has productized 15 AI-enabled solutions that support clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. The organization embraces an innovative and entrepreneurial spirit, looking to push boundaries and solve transformational challenges across industry. It welcomes professionals that share the desire to make meaningful and impactful contributions to the mission to deliver responsible AI to the heart of industrial processes. Always on the forefront of technology, AIQ provides its talent with an environment to thrive and excel. Working at AIQ includes participating in some of the most significant industrial transformation projects, interacting with massive data pools, utilizing sophisticated AI infrastructure that is powered by a NVIDIA GPU cloud computing platform, and access to abundant computing, storage, and network resources made available from across the G42 ecosystem. AIQ is looking for a Senior Full Stack Engineer to join its digital and AI solutions team, building next-generation applications that support the transformation of oil and gas operations. The role involves developing scalable, cloud-native full-stack systems that integrate advanced AI capabilities into real-world industrial use cases. You will work across backend and frontend technologies to deliver high-performance applications, while collaborating closely with AI engineers, data scientists, and domain experts to translate complex requirements into robust, production-ready solutions. We encourage the use of AIassisted development tools (e.g., Claude Code, GitHub Copilot) to accelerate delivery \u2014 but ownership stays with the engineer: you're expected to understand, validate, and stand behind everything shipped. AIQ is an Abu Dhabi-based technology company that develops and deploys industrial artificial intelligence (AI) technologies at scale, focused on the energy sector. As a venture between Presight (G42) and ADNOC, AIQ has productized 15 AI-enabled solutions that support clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. The organization embraces an innovative and entrepreneurial spirit, looking to push boundaries and solve transformational challenges across industry. It welcomes professionals that share the desire to make meaningful and impactful contributions to the mission to deliver responsible AI to the heart of industrial processes. Always on the forefront of technology, AIQ provides its talent with an environment to thrive and excel. Working at AIQ includes participating in some of the most significant industrial transformation projects, interacting with massive data pools, utilizing sophisticated AI infrastructure that is powered by a NVIDIA GPU cloud computing platform, and access to abundant computing, storage, and network resources made available from across the G42 ecosystem. AIQ is looking for a Senior Full Stack Engineer to join its digital and AI solutions team, building next-generation applications that support the transformation of oil and gas operations. The role involves developing scalable, cloud-native full-stack systems that integrate advanced AI capabilities into real-world industrial use cases. You will work across backend and frontend technologies to deliver high-performance applications, while collaborating closely with AI engineers, data scientists, and domain experts to translate complex requirements into robust, production-ready solutions. We encourage the use of AIassisted development tools (e.g., Claude Code, GitHub Copilot) to accelerate delivery \u2014 but ownership stays with the engineer: you're expected to understand, validate, and stand behind everything shipped.

Develop scalable, cloud-native full-stack systems that integrate advanced AI capabilities into real-world industrial use cases. Work across backend and frontend technologies to deliver high-performance applications. Collaborate closely with AI engineers, data scientists, and domain experts to translate complex requirements into robust, production-ready solutions. Use AI-assisted development tools (e.g., Claude Code, GitHub Copilot) to accelerate delivery while maintaining ownership and the ability to validate and stand behind everything shipped.