Python Full Stack Engineer

Technopride Ltd; Cerekiew; On-site; PLN 169,000 - 254,000; Full time

Job summary

A technology solutions company in Poland seeks a Full Stack Engineer to join their Data Analytics team. The ideal candidate should have strong expertise in Python (FastAPI) and React, focusing on building production-grade ML/NLP applications. Responsibilities include developing end-to-end applications, deploying scalable solutions in the cloud, and collaborating with data scientists. This position offers a dynamic work environment with opportunities for professional growth.

Qualifications

• Proven experience as a Full Stack Developer.
• Hands-on experience developing ML/NLP applications.
• Strong understanding of data processing and distributed systems.

Responsibilities

• Design, develop, and maintain end-to-end applications using Python and React.
• Build and deploy ML/NLP-driven products.
• Develop scalable APIs for data processing and model inference.

Skills

Python

FastAPI

React

ML/NLP applications

API design

Cloud deployments

Docker

Tools

AWS

CI/CD

Docker

Job description

Polska Cerekiew, Poland | Posted on 10/11/2025

We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.

Job Description

Role Overview

We are seeking a Full Stack Engineer with strong expertise in Python (FastAPI) and React to join our Data Analytics team. The ideal candidate will have experience building production-grade ML/NLP applications, combining robust backend development with intuitive frontend design. This role involves working on end-to-end solutions — from developing APIs and machine learning pipelines to deploying scalable applications in the cloud.

Key Responsibilities

• Design, develop, and maintain end-to-end applications using Python (FastAPI) for backend services and React for frontend interfaces.
• Build and deploy ML/NLP-driven products, integrating machine learning models into production systems.
• Develop scalable APIs for data processing, model inference, and analytics workflows.
• Implement and manage cloud deployments using AWS or equivalent platforms (e.g., ECS, Fargate, Docker, CI/CD).
• Collaborate with data scientists and engineers to optimize data pipelines and model performance.
• Ensure application scalability, performance, and maintainability through best coding practices and modern DevOps tools.

Required Skills & Experience

• Proven experience as a Full Stack Developer, with strong proficiency in Python, FastAPI, and React.
• Hands‑on experience developing ML/NLP applications and integrating model inference APIs.
• Strong understanding of data processing, API design, and distributed systems.
• Proficiency in cloud-based deployments (AWS or other major cloud providers), including Docker, CI/CD pipelines, and container orchestration.
• Solid understanding of software engineering principles, version control (Git), and agile methodologies.