AI Engineer

**Artificial Intelligence Engineer** **Work Location:** Dubai, United Arab Emirates **Job Summary** DigitalQatalyst is seeking a highly motivated and experienced **AI Development Engineer** to join our growing technology team. This role is responsible for designing, developing, testing, and deploying AI-powered applications, intelligent assistants, automation solutions, APIs, and system integrations that support both internal business operations and client-facing digital transformation initiatives. The successful candidate will transform AI solution designs into scalable, secure, and production-ready applications while contributing to the development of reusable AI components and frameworks. This position offers an exciting opportunity to work on cutting-edge artificial intelligence technologies, including large language models (LLMs), intelligent agents, retrieval-augmented generation (RAG), workflow automation, and cloud-based AI solutions. **Key Responsibilities** **AI Application Development** * Design, develop, and deploy AI-powered applications, virtual assistants, copilots, intelligent agents, and digital platform features. * Translate business requirements and technical specifications into functional AI solutions. * Develop scalable and maintainable AI software components for internal and client-facing products. **Prompt Engineering and Agent Development** * Create, optimize, and maintain prompts, agent workflows, and system instructions. * Configure intelligent agent behaviors, tool integrations, and decision-making workflows. * Improve AI response quality, accuracy, and user experience through continuous optimization. **Backend Development and System Integration** * Build and maintain APIs, backend services, connectors, and integration layers. * Integrate AI applications with enterprise systems, databases, cloud services, and third-party platforms. * Ensure secure and efficient data exchange between applications and AI services. **Data Management and Knowledge Systems** * Develop document ingestion, indexing, embedding, and retrieval pipelines. * Implement Retrieval-Augmented Generation (RAG) solutions to enhance AI accuracy and contextual understanding. * Manage structured and unstructured data sources to support AI-powered knowledge systems. **Testing, Validation, and Quality Assurance** * Conduct testing and validation of AI applications to ensure reliability, accuracy, safety, and performance. * Develop test scenarios, evaluation frameworks, and quality assurance processes. * Troubleshoot and resolve technical issues while maintaining system stability. **Deployment and Operational Support** * Support deployment, monitoring, maintenance, and continuous improvement of AI solutions. * Collaborate with DevOps and engineering teams to implement CI/CD best practices. * Monitor application performance and optimize solutions for production environments. **Reusable Solution Development** * Build reusable AI components, templates, frameworks, and engineering assets. * Contribute to technical standards, documentation, and best practices across AI development projects. * Support the creation of scalable AI capabilities that can be leveraged across multiple business initiatives. **Required Qualifications and Experience** * Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field. * Minimum of 1–3 years of experience in software development, AI engineering, machine learning application development, or related technical roles. * Proven experience developing and deploying AI-powered applications and integrations. * Hands-on experience working with Large Language Models (LLMs) and AI platforms. * Experience building APIs, backend services, and enterprise integrations. * Demonstrated ability to deliver production-ready software solutions in agile development environments. * Experience working on cloud-based platforms and modern software delivery practices. **Technical Competencies** **Programming & Development** * Strong proficiency in Python. * Working knowledge of JavaScript and/or TypeScript. * Backend development and API design. * Git version control and CI/CD practices. * Software testing, debugging, and performance optimization. **Artificial Intelligence & Machine Learning** * Large Language Model (LLM) application development. * Prompt engineering and prompt optimization. * AI agent and workflow development. * Retrieval-Augmented Generation (RAG) architecture. * Embeddings, semantic search, and vector databases. **Platforms & Tools** * OpenAI and Azure OpenAI Services. * Microsoft Azure cloud platform. * Microsoft Power Platform. * Microsoft Dynamics 365 and Dataverse. * SharePoint and Microsoft Graph APIs. * LangChain, Semantic Kernel, LlamaIndex, or equivalent AI orchestration frameworks. * SQL and NoSQL databases. * Vector database technologies. **Soft Skills** * Strong analytical and problem-solving