Cloud-Native Python Full-Stack AI Engineer

BXI Ventures; Hinoba-an; Hybrid; PHP 796,000 - 1,459,000; Full time

Job summary

BXI Ventures is seeking a Python Full Stack Developer to join a hybrid team working on cloud-native applications and AI-powered solutions. You will contribute across the stack, from Python back-end to React front-end, and integrate ML/LLM services.

The role emphasizes collaboration and leveraging cloud platforms. Ideal candidates have 4–6 years of Python experience, strong Django/Flask and React/Angular skills, and a solid understanding of cloud deployments along with SQL/NoSQL databases.

Qualifications

• 4–6 years of hands-on Python development experience.
• Full-stack development using Django/Flask and React/Angular.
• Cloud-native app design with AWS/Azure/GCP.

Responsibilities

• Develop and maintain scalable web applications using Python frameworks such as Django or Flask.
• Design and implement cloud-native applications on modern cloud platforms.
• Build and optimize ML/AI solutions including CV, NLP and LLM-based models.
• Utilize cloud AI services for deploying and integrating machine learning solutions.
• Develop front-end interfaces with React/Angular and integrate with back-end services.
• Manage database architecture, performance tuning, and efficient queries (SQL/NoSQL).
• Troubleshoot and debug to optimize full-stack performance.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Stay updated with AI and cloud development trends.

Skills

Python

Django/Flask

React/Angular

AWS/Azure/GCP

SQL/NoSQL

REST APIs

AI/ML concepts

DevOps CI/CD

Docker/Kubernetes

Tools

Docker

Kubernetes

React

Angular

SQL

NoSQL

REST API

Job description

BXI Ventures is seeking a Python Full Stack Developer to join a hybrid team working on cloud-native applications and AI-powered solutions. You will contribute across the stack, from Python back-end to React front-end, and integrate ML/LLM services.

The role emphasizes collaboration and leveraging cloud platforms. Ideal candidates have 4–6 years of Python experience, strong Django/Flask and React/Angular skills, and a solid understanding of cloud deployments along with SQL/NoSQL databases.