Job Description

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 technology—tailored 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 Staff 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 Youll 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 Youll Bring:

  • Bachelors or Masters 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.


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: United Arab Emirates City: Abu Dhabi
Company Website: https://ai71.ai/ Job Function: Information Technology (IT)
Company Industry/
Sector:
Technology Information and Internet

What We Offer


About the Company

Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.

Report

Similar Jobs

Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.


Talentmate Instagram Talentmate Facebook Talentmate YouTube Talentmate LinkedIn