About the Company:
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.
Overview:
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 — but ownership stays with the engineer: you're expected to
understand, validate, and stand behind everything shipped.
Responsibilities:
- Design, develop, and maintain scalable full-stack applications supporting AI-driven solutions for oil & gas operations.
- Develop responsive and performant frontend applications using modern JavaScript frameworks (React, Angular, or equivalent).
- Build robust backend services and APIs using modern frameworks (e.g., Python/FastAPI, Node.js) following microservices and event-driven
architecture.
- Work with large-scale structured and unstructured data through APIs, data services, and integration layers.
- Collaborate closely with AI engineers, data scientists, and domain experts to translate requirements into scalable digital products.
- Design and implement cloud-native solutions using AWS, Azure, or GCP, including containerized deployments (Docker, Kubernetes).
- Integrate AI/ML services and models (developed by data science teams) into production-grade applications.
- Ensure application performance, scalability, security, and reliability across distributed systems.
- Contribute to system design, architecture discussions, and engineering best practices, with growing ownership over key technical decisions.
- Use AI coding assistants and agentic dev tools to accelerate implementation and testing, while applying strong engineering judgment to review
and validate AI-generated output before it ships.
- Participate in CI/CD automation, DevOps workflows, and continuous improvement of delivery pipelines.
- Support integration with industrial systems and data sources (e.g., IoT, SCADA, enterprise platforms).
- Mentor junior and mid-level engineers on full-stack best practices, including effective and responsible use of AI-assisted tooling.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
- 5–8 years of experience in full-stack software development.
- Strong experience in backend development using Python (FastAPI or similar) and/or Node.js.
- Proven experience building frontend applications using React, Angular, or similar SPA frameworks with TypeScript.
- Solid understanding of microservices architecture, RESTful APIs, and distributed systems design.
- Experience working with relational and NoSQL databases (PostgreSQL, MongoDB, etc.).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Experience with CI/CD pipelines, Git-based workflows, and modern DevOps practices.
- Familiarity with integrating AI/ML services or data-driven APIs into applications (consuming — not building models).
- Understanding of event-driven architecture and messaging systems (e.g., Kafka, RabbitMQ).
- Demonstrated experience using AI-assisted development tools in a production engineering workflow, with a track record of maintaining high code
quality and ownership standards despite (or because of) increased velocity.
- Strong problem-solving skills with ability to work independently in agile environments.
- Prior experience mentoring engineers or leading technical initiatives is a plus.
- Experience in oil & gas, energy, or industrial digitalization environments is a strong advantage.
What working at AIQ offers:
Culture: Encouraging initiative, work in an environment that is fast-paced and varied, surrounded by talented peers from around the world, who are similarly attracted to applying their skills to solve transformational challenges.
Career: Join a team in which your contribution is recognized and rewarded, while you are supported to operate at your peak performance.
Rewards: An attractive renumeration package that includes healthcare, education support for dependents, leave benefits, and more.