Full Stack Developer
Must-have:TypeScriptJavaScriptPythonJavaHTMLCSSReactAngularVueNode.jsGraphQLGitAWSAzureGoogle CloudDockerKubernetesCloudFrontendBackendFullstackDevOpsAgileCI/CDMicroservicesAISecurity
About the company
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.
Your tasks
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.
Requirements
- 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).
Other
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