Software Engineer - Backend

ai71 Careers Site; Abu Dhabi; On-site; AED 350,000 - 700,000; Full time

Job summary

ai71 Careers Site is 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 backend systems that enable cutting-edge AI capabilities.

Key responsibilities include API design, data pipelines optimization, secure auth, and ensuring scalability and performance in a fast-paced environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• 8+ years of backend development experience with Python.
• Strong experience with RESTful APIs, GraphQL, or gRPC.
• Proficiency in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis).
• Experience with cloud platforms (AWS, GCP, Azure) and containers (Docker, Kubernetes).
• Knowledge of distributed computing and microservices architectures.
• Familiarity with CI/CD, infrastructure as code, and DevOps practices.

Responsibilities

• Design, develop, and maintain backend systems and APIs for AI-driven applications.
• Optimize database architectures and data pipelines for model training and inference.
• Implement secure authentication, authorization, and data protection mechanisms.
• Collaborate with cross-functional teams to integrate AI models into production.
• 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.

Skills

Python

RESTful APIs

GraphQL

gRPC

Distributed computing

Microservices

Cloud platforms

Docker

Kubernetes

Education

Bachelor’s or Master’s degree in CS/SE

Tools

PostgreSQL

MySQL

MongoDB

Redis

Docker

Kubernetes

Terraform

Ansible

Job description

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.