Back End Developer (AI Infrastructure)

Back End Developers (AI Infrastructure) design and maintain server-side systems that support AI technologies. They ensure scalable, secure, and efficient infrastructure to enable AI applications.

Alignerr is a technology-focused organization that appears to specialize in roles related to artificial intelligence and cybersecurity. The job titles suggest an emphasis on AI training, infrastructure development, and security operations, indicating potential involvement in areas such as machine learning model development, system architecture, and threat detection. While the exact nature of the company's business remains unspecified, the recurring presence of AI-related positions implies a strategic focus on integrating advanced technologies into secure and scalable systems. The inclusion of roles like Governance, Risk & Compliance Analyst and Vulnerability Management Analyst further points to an environment where regulatory adherence and risk mitigation are critical components of operations. Alignerr likely operates in a sector that requires robust technical expertise and compliance with industry standards.

About The Role What if the code you write could directly power the AI systems shaping how millions of people interact with technology? We're looking for Back End Developers in Cairo to design, build, and optimize the server-side systems and APIs that drive cutting-edge AI products — from data pipelines and model-serving infrastructure to scalable microservices that handle real-world traffic at scale. This is a fully remote, flexible contract role. Cairo is home to one of the Middle East and Africa's largest and most dynamic engineering communities, and we're looking for experienced developers ready to bring their skills to the global AI infrastructure space. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design, develop, and maintain robust back end services, APIs, and data pipelines Build scalable, high-performance server-side architecture to support AI training and inference workloads Write clean, well-documented, and testable code following engineering best practices Integrate with databases, message queues, cloud services, and third-party APIs Optimize system performance, reliability, and scalability as usage grows Collaborate asynchronously with distributed teams of engineers, researchers, and product leads Troubleshoot production issues, conduct code reviews, and contribute to architectural decisions Work independently on task-based and project-based assignments on your own schedule Who You Are Proficient in one or more back end languages — Python, Go, Java, Node.js, Rust, or similar Solid understanding of RESTful API design, microservices architecture, and distributed systems Experienced with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis, etc.) Comfortable working with cloud platforms such as AWS, GCP, or Azure Familiar with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes) Strong problem-solving skills and the ability to debug complex systems independently Self-motivated, reliable, and effective when working asynchronously without close supervision Clear communicator who can document decisions and collaborate across time zones Nice to Have Experience building infrastructure for machine learning or AI systems Familiarity with data processing frameworks (Apache Kafka, Spark, Airflow, or similar) Background in performance optimization, caching strategies, or high-throughput systems Knowledge of authentication, authorization, and security best practices Experience with serverless architectures or event-driven design patterns Contributions to open-source projects or a strong portfolio of personal/professional work Why Join Us Work on cutting-edge AI infrastructure projects alongside leading research labs Fully remote and flexible — set your own hours and work from anywhere Freelance autonomy with access to meaningful, technically challenging work Build systems at the intersection of software engineering and artificial intelligence Collaborate with a global network of talented engineers and researchers Potential for ongoing work and contract extension as new projects launch Show more