Remote Python Full-Stack Engineer - AI-Driven Apps (Night Shift)

MicroSourcing

Manila

Remote

PHP 1,000,000 - 1,400,000

Full time

4 days ago
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Benefits offered by this job

Healthcare coverage day one
Paid time-off with cash conversion
Group life insurance
Performance bonuses

Job summary

MicroSourcing is hiring a Python Full-Stack Engineer to join a remote, night-shift team in the Philippines. You will develop end-to-end features using Flask/Python, build backend and frontend interfaces, and integrate with external systems and AI tools.

The role emphasizes secure APIs, reliable data handling, and scalable workflows. Ideal candidates have strong Python experience in production, full-stack capabilities, and familiarity with AWS/containerized deployments, asynchronous processing,

Qualifications

  • Strong professional Python experience in a mature production codebase.

Responsibilities

  • Ship end-to-end features and fixes across Flask/Python backend code, Jinja templates, Bootstrap/JavaScript UI, database models, and external integrations.
  • Extend agentic workflows connecting web applications to AI/voice systems, webhooks, queues, EHR/CRM platforms, and browser automation.
  • Build reliable integrations, REST APIs, OAuth flows, retries, idempotency, and background processing systems.
  • Manage relational data changes safely using PostgreSQL, SQLAlchemy, Alembic migrations, Redis, and queued processing.
  • Leverage AI-native development environments to read code, write tests, refactor, and accelerate delivery.

Skills

Python
Full-stack
Flask
PostgreSQL
SQLAlchemy
APIs
AI coding tools
AWS/containers
Django/JS UI

Tools

Flask
PostgreSQL
SQLAlchemy
Alembic
Redis
AWS
Playwright
SQS
Cursor/Claude Code

Job description

MicroSourcing is hiring a Python Full-Stack Engineer to join a remote, night-shift team in the Philippines. You will develop end-to-end features using Flask/Python, build backend and frontend interfaces, and integrate with external systems and AI tools.

The role emphasizes secure APIs, reliable data handling, and scalable workflows. Ideal candidates have strong Python experience in production, full-stack capabilities, and familiarity with AWS/containerized deployments, asynchronous processing,

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