Senior Full-Stack AI Systems Engineer - Remote

Qualiticks Pty Ltd; Manila; On-site; PHP 1,500,000 - 2,400,000; Full time

Benefits offered by this job

100% remote

Async-friendly culture

Training budget

Mentoring

Job summary

QTX Group in Australia is hiring a Senior Full Stack Developer to build production-grade AI-driven systems across industries. You’ll blend backend and frontend work, deploying AI and data products with secure APIs, real-time interfaces, and scalable microservices.

Join an async-friendly, 100% remote team and help deliver cloud-native solutions leveraging Python, React, Azure, and modern DevOps practices. Experience with ML model deployment is a nice-to-have.

Qualifications

• 4+ years of full stack development experience in high-scale or data-heavy environments.
• Strong experience with Python-based backends and modern JS frameworks.
• Understanding of API architecture, security, versioning, and scalability.
• Ability to collaborate with DevOps teams and ship infra-as-code.

Responsibilities

• Develop intelligent, production-grade AI-powered web applications and internal platforms.
• Build scalable, containerised microservices serving ML models and real-time pipelines.
• Create secure APIs and data flows between Azure cloud services and frontend apps.
• Develop internal tooling to improve AI delivery and CI/CD processes.
• Improve infrastructure with observability, testing, and code quality.

Skills

Full stack development

Python

React

TypeScript

Azure

Docker

Kubernetes

CI/CD

APIs

Tools

Azure Functions

Azure Data Factory

AKS

Terraform

GitHub Actions

Job description

QTX Group in Australia is hiring a Senior Full Stack Developer to build production-grade AI-driven systems across industries. You’ll blend backend and frontend work, deploying AI and data products with secure APIs, real-time interfaces, and scalable microservices.

Join an async-friendly, 100% remote team and help deliver cloud-native solutions leveraging Python, React, Azure, and modern DevOps practices. Experience with ML model deployment is a nice-to-have.