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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:
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.
- 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.
- 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.
- 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.
Key Skills
Ranked by relevance
ai
infrastructure as code
distributed computing
containerization
machine learning
message queues
microservices
restful apis
postgresql
terraform
rabbitmq
graphql
docker
devops
nosql
mysql
kafka
cloud
mlops
cicd
sql
aws
gcp
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- Posted
- Apr 06, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Abu Dhabi
- Company
- ai71
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Staff Software Engineer - Frontend
2026-04-06
Full-time
Not Applicable
United Arab Emirates
Technology
Engineering
View Job Details
Related
Machine Learning Engineer
2026-03-25
Full-time
Not Applicable
United Arab Emirates
Technology
Engineering
View Job Details
Related
Backend Software Engineer, Office Intelligence
2026-04-10
Full-time
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