Senior Developer - Full Stack
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 Developer 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.
Responsibilities:
- Design, develop, and maintain scalable full-stack applications supporting AI-driven solutions for oil & gas operations.
- Build robust backend services and APIs using modern frameworks (e.g., Python/FastAPI, Node.js) following microservices and event-driven architecture.
- Develop responsive and performant frontend applications using modern JavaScript frameworks (React, Angular, or equivalent).
- Integrate AI/ML services and models (developed by data science teams) into production-grade applications.
- 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).
- Ensure application performance, scalability, security, and reliability across distributed systems.
- Contribute to system design, architecture discussions, and engineering best practices.
- 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).
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, Flask, 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).
- Strong problem-solving skills with ability to work independently in agile environments.
- Experience in oil & gas, energy, or industrial digitalization environments is a strong advantage.