Full Stack Developer

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.

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.