Python Full Stack Engineer
Summary
Build and deploy end-to-end Python (FastAPI) backend and React frontend applications, integrating ML/NLP models and cloud infrastructure for scalable data analytics solutions.
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 aFull Stack Engineerwith strong expertise inPython (FastAPI)andReactto join our Data Analytics team. The ideal candidate will have experience buildingproduction-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 maintainend-to-end applicationsusingPython (FastAPI)for backend services andReactfor frontend interfaces.
- Build and deployML/NLP-driven products, integrating machine learning models into production systems.
- Developscalable APIsfor data processing, model inference, and analytics workflows.
- Implement and managecloud deploymentsusing 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 applicationscalability, performance, and maintainabilitythrough best coding practices and modern DevOps tools.
Required Skills & Experience
- Proven experience as aFull Stack Developer, with strong proficiency inPython, FastAPI, and React.
- Hands-on experience developingML/NLP applicationsand integrating model inference APIs.
- Strong understanding ofdata processing, API design, and distributed systems.
- Proficiency incloud-based deployments(AWS or other major cloud providers), includingDocker, CI/CD pipelines, and container orchestration.
- Solid understanding ofsoftware engineering principles, version control (Git), and agile methodologies.