Backend Engineer for AI-Powered Applications

Discovered MENA • Emea
Relocation
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AI Summary

Design, develop, and maintain backend systems for AI-driven applications. Collaborate with cross-functional teams to integrate AI models into production environments. Ensure system scalability, reliability, and performance through robust infrastructure design.

Key Highlights
Design backend systems for AI-driven applications
Collaborate with cross-functional teams
Ensure system scalability and performance
Key Responsibilities
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
Technical Skills Required
Python RESTful APIs GraphQL gRPC SQL NoSQL databases PostgreSQL MySQL MongoDB Redis AWS GCP Azure Docker Kubernetes Kafka RabbitMQ
Benefits & Perks
Competitive compensation
Benefits
Career growth opportunities
Flexible working environment
Latest tools & technologies
Nice to Have
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)

Job Description


Job Title: Backend Engineer

Location: Abu Dhabi, UAE (Relocation is required!)


About 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.


Key Responsibilities:

  • 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.


Required Qualifications:

  • 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
  • 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 Join Us?

  • Work on cutting-edge AI applications with a talented and passionate team.
  • Opportunity to innovate and solve real-world challenges using AI.
  • Competitive compensation, benefits, and career growth opportunities.
  • Flexible working environment and the latest tools & technologies.

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