Middle Python Engineer

About the Role

We are looking for a skilled and proactive Python Engineer to join our team of contractors and contribute to the development of high-performance backend services and AI-driven solutions. You’ll be working in a dynamic environment with talented professionals and real product impact.

 

Location: Remote

Cooperation Type: Full-time / Part-time

Experience Level: 2–4 years

 

Responsibilities

• Design, develop, and maintain backend services using Python and FastAPI

• Integrate AI/ML models into scalable APIs and production systems

• Collaborate with Data Scientists, DevOps, and Frontend Engineers to ensure smooth end-to-end delivery

• Optimize application performance, scalability, and reliability

• Participate in architecture and design discussions

• Write clean, testable, and well-documented code

 

Requirements

• 2–4 years of professional experience in backend development with Python

• Strong hands-on experience with FastAPI (or similar frameworks like Flask, Django REST)

• Solid understanding of RESTful API design principles

• Experience integrating or working with AI/ML models in production

• Familiarity with tools like Pandas, NumPy, or scikit-learn

• Proficient with version control systems (e.g., Git)

• Understanding of containerization (e.g., Docker) and cloud platforms is a plus

• English: Intermediate or higher

 

What We Offer

• Competitive compensation according to your experience (gross system)

• Fully remote work and flexible working hours

• Supportive team culture, focused on learning and growth

• Opportunity to work part or full-time

 

What happens after you apply

• We review your application and contact you to set up a quick call with one of our recruiters

• Technical interview

• Offer stage

Required skills experience

Python 2 years
FastAPI 2 years
RESTful API 2 years
Git 2 years
Back end 2 years

Required domain experience

Machine Learning / Big Data 2 years
SaaS 2 years

Required languages

English B2 - Upper Intermediate
AI/ML Integration, Pandas, NumPy, scikit-learn, Docker, Cloud Platforms
Published 1 December
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116 applications
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