
Backend Engineer [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 technologyātailored 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 Youāll 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 Youāll Bring:
⢠Bachelor's or Masterās 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
- ā¢Bachelor's or Master's degree in Computer Science/Software Engineering
- ā¢8+ years of experience in backend development
- ā¢Expertise in Python, NodeJS
- ā¢Strong experience with RESTful APIs, GraphQL, or gRPC
- ā¢Proficiency in database design (SQL/NoSQL)
- ā¢Experience with cloud platforms (AWS, GCP, Azure)
- ā¢Knowledge of containerization (Docker, Kubernetes)
- ā¢Experience with distributed computing/microservices
Nice to Have
- ā¢Knowledge of message queues (Kafka, RabbitMQ)
- ā¢Exposure to LLMs, vector databases, AI inference optimization
- ā¢Understanding of DevOps practices, CI/CD, IaC
- ā¢Familiarity with MLOps and AI model deployment pipelines
Responsibilities
- ā¢Design, develop, and maintain backend systems and APIs for AI apps
- ā¢Optimize database architectures and data pipelines
- ā¢Implement secure authentication, authorization, and data protection
- ā¢Collaborate with cross-functional teams on AI model integration
- ā¢Ensure system scalability, reliability, and performance
- ā¢Develop monitoring and logging tools
- ā¢Write clean, efficient, and well-documented code
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