Full Stack Developer at Ghobashgroup

Posting record

No flags

Open 12+ days

Jun 17, 2025Ghobashgroup's site dates the posting
Oct 23, 2026Ghostless first sees this listing
Nov 4, 2026Last checked: still up

How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Ghobashgroup, so its true age is longer.

Last checked Nov 4, 2026.

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What it asks of you

2–4 years of experience: “2–4 years of professional experience in full-stack software development.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

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Skills mentioned

About the role

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.

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