AI Engineer

Job Summary

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.

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?

Job Type: Full-time

Experience

• AI Engineer: 1 year (Required)

Location

• Dubai (Required)