Full-Stack AI & Automation Engineer

HRTX; Philippines; On-site; PHP 600,000 - 900,000; Full time

Job summary

HRTX in the Philippines is seeking a versatile Front-End/Back-End/Full-Stack Engineer to design, develop, and optimize scalable AI and automation applications. You will collaborate with data scientists and AI developers to integrate models and automation workflows into production systems.

Ideal candidates have a CS degree, strong Python experience, and solid practice with Django/Flask, REST APIs, databases, and DevOps fundamentals. Familiarity with Docker/Kubernetes and cloud platforms is a plus.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience as Front-End, Back-End, or Full-Stack Engineer.
• Strong Python experience, with Django and Flask for web apps.
• Experience designing RESTful APIs and working with SQL/NoSQL databases.
• Familiarity with Git, CI/CD, and DevOps practices.
• Security best practices understood and applied.

Responsibilities

• Develop and maintain scalable front-end and back-end apps for AI and automation projects.
• Collaborate with data scientists to integrate AI models into production systems.
• Design and implement APIs for data exchange across components.
• Ensure performance, quality, and responsiveness of applications.
• Troubleshoot issues across the stack and support smooth operations.
• Stay updated on industry trends to improve systems.

Skills

Front-End

Back-End

Full-Stack

Python

Django

Flask

REST APIs

SQL

NoSQL

ORM

Git

CI/CD

DevOps

Cybersecurity

Education

Bachelor's degree

Tools

Docker

Kubernetes

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

HRTX in the Philippines is seeking a versatile Front-End/Back-End/Full-Stack Engineer to design, develop, and optimize scalable AI and automation applications. You will collaborate with data scientists and AI developers to integrate models and automation workflows into production systems.

Ideal candidates have a CS degree, strong Python experience, and solid practice with Django/Flask, REST APIs, databases, and DevOps fundamentals. Familiarity with Docker/Kubernetes and cloud platforms is a plus.