Remote Backend Engineer - AI-Driven Python APIs

Webinterpret; Polska; Hybrid; PLN 145,000 - 172,000; Part time

Job summary

Webinterpret, a global tech company helping brands conquer new markets, is seeking a Mid Backend Software Engineer to join an agile team. You will own end-to-end backend services, leverage AI-assisted workflows, and collaborate with product owners to deliver scalable, robust APIs using Python (Flask/Falcon/FastAPI) and modern stacks.

The role supports remote, Warsaw-based hybrid options with flexible hours and a strong emphasis on clean code, TDD, and scalable architectures in a multinational

Qualifications

• 4+ years of backend Python experience with Flask, Falcon, or FastAPI.
• Experience delivering end-to-end services in an Agile environment.
• Cloud and DevOps familiarity with AWS, Docker, and Kubernetes.
• Strong written and spoken English; able to work in international teams.
• Experience with NoSQL databases and GraphQL knowledge.

Responsibilities

• Develop end-to-end backend services with ownership of outcomes.
• Collaborate with product owners to translate vision into working software.
• Leverage AI-based tools to accelerate delivery without sacrificing quality.
• Practice TDD and clean code practices.
• Contribute to scalable web architectures and security.

Skills

Python

Flask

Falcon

FastAPI

APIs

NoSQL

MongoDB

Elasticsearch

AWS

Docker

Kubernetes

GitLab CI

Jenkins

CI/CD

Jira

Slack

English

Tools

MySQL

PostgreSQL

Redshift

Athena

MongoDB

Elasticsearch

GraphQL

Ariadne

Jira

Slack

GitLab

Job description

Webinterpret, a global tech company helping brands conquer new markets, is seeking a Mid Backend Software Engineer to join an agile team. You will own end-to-end backend services, leverage AI-assisted workflows, and collaborate with product owners to deliver scalable, robust APIs using Python (Flask/Falcon/FastAPI) and modern stacks.

The role supports remote, Warsaw-based hybrid options with flexible hours and a strong emphasis on clean code, TDD, and scalable architectures in a multinational