**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 skills.
- Ability to translate business requirements into technical solutions.
- Excellent communication and stakeholder engagement skills.
- Strong attention to detail and commitment to quality.
- Ability to work independently and collaboratively within cross-functional teams.
- Adaptability and willingness to learn emerging AI technologies.
- Strong organizational and time management skills.
- Results-oriented mindset with a focus on delivery and innovation.
Why Join DigitalQatalyst?
At DigitalQatalyst, you will have the opportunity to work on innovative AI initiatives that drive digital transformation across industries. You will collaborate with experienced technology leaders, contribute to high-impact projects, and help shape the future of AI-powered business solutions in a fast-growing and forward-thinking organization.
Job Type: Full-time
Pay: From AED4,000.00 per month
Experience:
- AI Engineer: 1 year (Required)
Location:
- Dubai (Required)
Work Location: In person