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Staff Software Engineer - Backend

ai71Abu Dhabi, UAE1 months agoMid-Seniorfulltime
AWSAzureGCPGraphQLMachine LearningMongoDBMySQLPostgreSQLPythonRedisScalaSQL
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Via LinkedInΒ·

About This Role

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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