Engineer - Artificial Intelligence (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. We are seeking a versatile AI Engineer to design, build, and optimize scalable data systems and software applications that power Presight\u2019s AI-driven platforms. This role combines data engineering expertise (pipelines, data integration, transformation) with software engineering skills (applications, APIs, system integration). A key focus of this position will be the heavy adoption of the latest AI coding tools (such as Cursor, Claude Code, OpenAI Codex, and Google Gemini) to accelerate data engineering and software development tasks, ensuring higher productivity, faster delivery, and improved code quality. - Adopt and integrate AI coding assistants (Cursor, Claude Code, OpenAI Codex, Google Gemini, etc.) into daily workflows. - Use AI tools for code generation, refactoring, testing, and documentation. - Continuously evaluate emerging AI development tools to improve efficiency and code quality. - Design, develop, and maintain ETL/ELT pipelines and workflows. - Collect, clean, and transform structured/unstructured datasets. - Ensure data governance, quality, and compliance. - Design, implement, and test scalable, maintainable software systems. - Develop APIs, microservices, and system integrations for AI platforms. - Contribute to architecture decisions and code reviews. - Bachelor\u2019s or Master\u2019s degree in Computer Science, Software/Data Engineering, or related field. - Advanced degree preferred. - Proven experience in data engineering (pipelines, ETL, integration). - Track record of building production-grade software systems. - Familiarity with cloud-native ecosystems. - Programming proficiency: Python, Node.js. - Proficient in SQL and database technologies (relational + NoSQL). - Experience with data tools (Apache Spark, Kafka, Airflow). - Experience with software frameworks (FastAPI, Node.js, or similar). - Experience with Azure cloud platform for data and application deployments. - Hands-on experience using AI coding assistants (Cursor, Claude Code, OpenAI Codex, Google Gemini). - Strong debugging, problem-solving, and optimization skills. - Excellent communication and teamwork abilities. - Knowledge of containerization and orchestration (Docker, Kubernetes). - Familiarity with CI/CD and DevOps practices. - Experience with real-time/streaming data processing. - Understanding of data governance and compliance frameworks. - Culture: Diverse, inclusive, and innovation-driven workplace. - Career: High-impact projects and continuous professional growth. - Rewards: Competitive package including healthcare, education support, and more. 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. We are seeking a versatile AI Engineer to design, build, and optimize

Bachelor’s or Master’s degree in Computer Science, Software/Data Engineering, or related field. Advanced degree preferred. Proven experience in data engineering (pipelines, ETL, integration). Track record of building production-grade software systems. Familiarity with cloud-native ecosystems. Experience with Azure cloud platform for data and application deployments. Hands-on experience using AI coding assistants (Cursor, Claude Code, OpenAI Codex, Google Gemini). Strong debugging, problem-solving, and optimization skills. Excellent communication and teamwork abilities. Knowledge of containerization and orchestration (Docker, Kubernetes). Familiarity with CI/CD and DevOps practices. Experience with real-time/streaming data processing. Understanding of data governance and compliance frameworks.

- Adopt and integrate AI coding assistants (Cursor, Claude Code, OpenAI Codex, Google Gemini, etc.) into daily workflows. - Use AI tools for code generation, refactoring, testing, and documentation. - Continuously evaluate emerging AI development tools to improve efficiency and code quality. - Design, develop, and maintain ETL/ELT pipelines and workflows. - Collect, clean, and transform structured/unstructured datasets. - Ensure data governance, quality, and compliance. - Design, implement, and test scalable, maintainable software systems. - Develop APIs, microservices, and system integrations for AI platforms. - Contribute to architecture decisions and code reviews.