Middle Python Developer

Middle Python Developer

Content Farm — autonomous B2B content automation system

About the company

Workeron.AI is an AI transformation agency. We build AI solutions, agent systems, and digital coworkers for businesses. We don't build abstract AI — we build real workers on AI who take over concrete tasks in operations, analytics, and management.

About the project

We are launching one of our key internal products — Content Farm, an autonomous B2B content system that generates expert content in the CEO's voice, publishes it across platforms, and converts audience engagement into qualified leads.

This is not just content marketing. It's an engineering system at the intersection of AI, automation, agent orchestration, browser automation, and mobile automation.

Business goal: build a system that generates 100 MQLs per month through organic and semi-automated content marketing.

Mission of the role

We are looking for a strong Middle Python Developer to become one of the first engineers on this product — helping move it from architectural design into a working MVP and then into a stable production system.

You will work on Content Farm, an autonomous system that generates and publishes expert content on LinkedIn, Twitter/X, and Instagram, monitors audience reactions, initiates follow-up communications, and converts interest into MQLs.

What you will do

• Develop backend logic and Python tools for AI orchestration and automation
• Build and integrate tools for CrewAI and other agent framework components
• Build APIs and services for inter-component communication
• Work on content generation and lead generation pipelines
• Implement browser automation and mobile automation workflows
• Connect and configure integrations with LLM providers
• Participate in MVP architecture design and scaling planning
• Help build a stable production-grade layer around an experimental AI system

Requirements

Python 3.10+

3–5 years of commercial Python. Strong understanding of async/await, decorators, type hints, backend architecture, and clean maintainable code.

REST API development

Experience designing and building APIs with FastAPI, Django, Flask, or similar frameworks.

LLM API integration

Practical integration experience with OpenAI, Anthropic, Google AI, or other LLM providers.

Docker

Confident with Docker and Docker Compose: building services, running containers, local dev environments.

Git and Linux

Git flow, branching, code review, basic Linux CLI, logs, and configs.

Nice to have

• FastAPI / Pydantic
• Celery + Redis
• CrewAI / LangChain / AutoGen
• Playwright / browser automation
• ADB / Android automation
• FFmpeg / OpenCV
• PostgreSQL
• WebSocket
• MCP (Model Context Protocol)

We are a match if you

• Write confident Python and can actually put together backend systems
• Don't shy away from unconventional tasks and integrations
• Pick up new technologies fast and without drama
• Want to work in an environment where AI is real engineering, not a slide in a deck
• Can balance speed, quality, and common sense

What we offer

• Work on a real AI product from architecture to production
• Direct collaboration with the engineering lead and founders — no bureaucracy
• Remote-first with a flexible schedule
• Competitive base compensation

How to apply

In your application, please include:

• Brief overview of your Python backend experience
• Your experience with LLM APIs
• Automation, scraping, Playwright, or ADB experience if applicable
• GitHub profile, projects, or case examples
• Desired hourly rate or monthly compensation
• Availability and earliest possible start date