Senior Full-Stack & AI Engineer (Remote)

Addify; Dubai; Remote; AED 250,000 - 500,000; Full time

Job summary

Addify is seeking a Senior Full‑Stack & AI Software Engineer to join our team in a remote capacity. The role focuses on end‑to‑end software development, including AI/ML integration, API and microservices design, and cloud deployment with AWS/Azure/GCP.

Strong English communication is mandatory for collaboration with global stakeholders. We value candidates with practical experience in .NET/C#, Node.js, React/Angular, Python, and exposure to LLMs, MCP, RAG, and MLOps.

Qualifications

• Professional software engineering experience.
• Strong hands‑on experience in one or more listed technologies.
• Experience building production software or AI/ML systems.
• Strong problem solving and debugging skills.
• Ability to work independently and collaboratively.
• Excellent English communication skills are required.

Responsibilities

• Develop and maintain full‑stack applications and backend services.
• Build and integrate AI/ML and Generative AI capabilities.
• Work with LLMs, RAG, AI agents, MCP, and related tech.
• Design and develop APIs and microservices.
• Work with cloud platforms such as AWS, Azure, and GCP.
• Collaborate with engineers and stakeholders on technical requirements and architecture.
• Troubleshoot and improve performance, reliability, and scalability.
• Take ownership of projects and deliver production‑quality solutions.
• Clearly communicate technical concepts, progress, and decisions in English.

Skills

.NET / C#

Node.js

React

Angular

Python

LLM / Generative AI

MCP (Model Context Protocol)

ML/AI

REST APIs

SQL / NoSQL

Cloud (AWS, Azure, GCP)

Docker / Kubernetes

CI/CD

MLOps / DevOps

Tools

Docker

Kubernetes

CI/CD

Job description

Addify is seeking a Senior Full‑Stack & AI Software Engineer to join our team in a remote capacity. The role focuses on end‑to‑end software development, including AI/ML integration, API and microservices design, and cloud deployment with AWS/Azure/GCP.

Strong English communication is mandatory for collaboration with global stakeholders. We value candidates with practical experience in .NET/C#, Node.js, React/Angular, Python, and exposure to LLMs, MCP, RAG, and MLOps.