Information Technology · Full-time
Direct employerFull Stack Developer
CairoMid level · Not statedDeadline not published by employerChecked 1 Nov 2026
Published by employer
About this role
Role overview
Company Description
Code 81 is established in 2023, CODE81 operates autonomously from within the Technology Cluster of Ghobash Group as a highly agile services driven organization, committed to enabling future thinkers.
Job Description
AI/ML Integration
- Collaborate with AI/ML teams to understand and integrate models into live applications.
- Deploy models using APIs, TensorFlow.js, ONNX, or direct embedding techniques.
- Maintain model versioning, performance monitoring, and retraining pipelines (MLOps best practices).
Backend Development
- Develop robust APIs and backend logic using frameworks like Node.js, Django, or Flask.
- Design scalable architectures for handling AI model inputs/outputs and data flow.
- Integrate databases (PostgreSQL, MongoDB, Redis) for data persistence and caching.
Frontend Development
- Build dynamic, intuitive UIs using React, Angular, or Vue.js.
- Visualize AI model outputs clearly for end-users (dashboards, predictive indicators, etc.).
- Ensure UI responsiveness, accessibility, and performance across devices.
Infrastructure & DevOps
- Containerize applications using Docker and orchestrate via Kubernetes.
- Manage deployments on cloud platforms like AWS, Azure, or GCP.
- Implement CI/CD pipelines and monitor system health in production environments.
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Qualifications
- 2–4 years of professional experience in full-stack software development.
- Strong programming skills in JavaScript/TypeScript (React, Node.js) and Python (Django, Flask).
- Experience integrating AI/ML models via APIs or frontend embedding (e.g., TensorFlow.js).
- Solid understanding of RESTful or GraphQL APIs and microservices architecture.
- Familiarity with Git, Agile development, and continuous integration practices.
Preferred
- Hands-on experience with Generative AI, LLMs, or platforms like Hugging Face, OpenAI, or LangChain.
- Exposure to MLOps tools like MLflow, SageMaker, Kubeflow, or Vertex AI.
- Working knowledge of secure coding practices and AI ethics (e.g., data privacy, model fairness).
- Experience with real-time systems and streaming data (Kafka, WebSockets).
Additional Information
Languages/Technologies: Java/J2EE, ReactJS, JQuery, JSON, HTML, JavaScript, CSS, PLSQL. Additional: Angular 7, VueJS, AngularJS. Frameworks: Spring Boot, Spring 4(MVC, ORM, AOP, SECURITY, Batch), Struts 2, Hibernate 3+. Database: Oracle 19c. Web Services: RESTful Web Services (JAX-RS), SOAP, JSON. Build Tool: Maven. Version Control : Bit Bucket. Development Tools: Eclipse STS, Jira, Tibco Jasper Report. Application Server: WebLogic Application server, Apache Tomcat Testing: Junit.