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Home/Jobs/Backend Engineer [UAE Nationals]
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AI71

Backend Engineer [UAE Nationals]

šŸ‡¦šŸ‡Ŗ Abu Dhabi, UAEšŸ¢ On-site
Backend DevelopmentPythonNode.jsAPI DesignGraphQLgRPCSQLNoSQL
šŸŒ™ UAE Nationals
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About AI71:

AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.

The Role:

We are seeking a highly skilled Backend Engineer to design, build, and maintain the core infrastructure for AI-powered applications. You will work closely with machine learning engineers, data scientists, and frontend developers to create scalable, secure, and efficient backend systems that enable cutting-edge AI capabilities.

What You’ll Do:

• Design, develop, and maintain backend systems and APIs for AI-driven applications.

• Optimize database architectures and data pipelines for efficient AI model training and inference.

• Implement secure authentication, authorization, and data protection mechanisms.

• Collaborate with cross-functional teams to integrate AI models into production environments.

• Ensure system scalability, reliability, and performance through robust infrastructure design.

• Develop monitoring and logging tools for tracking system health and model performance.

• Write clean, efficient, and well-documented code following best practices.

What You’ll Bring:

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.

• 8+ years of experience in backend development, with expertise in Python, NodeJS

• Strong experience with RESTful APIs, GraphQL, or gRPC.

• Proficiency in database design and management (SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis).

• Experience with cloud platforms such as AWS, GCP, or Azure.

• Knowledge of containerization and orchestration tools (Docker, Kubernetes).

• Experience with distributed computing and microservices architectures.

• Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

• Knowledge of message queues (Kafka, RabbitMQ) and event-driven architectures.

• Exposure to LLMs, vector databases, and AI inference optimization.

• Understanding of DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, Ansible).

• Familiarity with MLOps and AI model deployment pipelines is a plus.

Why AI71:

• Mission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.

• Unparalleled Opportunity: This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.

• Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.

• World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.

Requirements

  • •Bachelor's or Master's degree in Computer Science/Software Engineering
  • •8+ years of experience in backend development
  • •Expertise in Python, NodeJS
  • •Strong experience with RESTful APIs, GraphQL, or gRPC
  • •Proficiency in database design (SQL/NoSQL)
  • •Experience with cloud platforms (AWS, GCP, Azure)
  • •Knowledge of containerization (Docker, Kubernetes)
  • •Experience with distributed computing/microservices

Nice to Have

  • •Knowledge of message queues (Kafka, RabbitMQ)
  • •Exposure to LLMs, vector databases, AI inference optimization
  • •Understanding of DevOps practices, CI/CD, IaC
  • •Familiarity with MLOps and AI model deployment pipelines

Responsibilities

  • •Design, develop, and maintain backend systems and APIs for AI apps
  • •Optimize database architectures and data pipelines
  • •Implement secure authentication, authorization, and data protection
  • •Collaborate with cross-functional teams on AI model integration
  • •Ensure system scalability, reliability, and performance
  • •Develop monitoring and logging tools
  • •Write clean, efficient, and well-documented code

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