Full-Stack & Platform Engineer – AI on Azure

Zoolatech; Wrocław; Hybrid; PLN 150,000 - 230,000; Full time

Job summary

Pandora is seeking a Full Stack Engineer to help build scalable AI services on the Azure cloud. You will contribute across backend and frontend surfaces, integrate AI features, and ensure secure, reliable production-ready platforms.

You will work with Data Scientists, ML Engineers, and Product stakeholders, focusing on high-performance Python backend, Kubernetes workloads, and CI/CD pipelines, with opportunities to influence end-to-end experiences.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• 3–6 years of experience as a Full-Stack or Backend Engineer with emphasis on backend/platform engineering.
• Experience with generative AI features or LLM-based integrations in a product or platform context.
• Retail/e-commerce experience is highly desirable.

Responsibilities

• Design and develop scalable backend services and platform components that expose AI/ML capabilities.
• Build, secure, and operate containerized workloads on Kubernetes, including configuration management and observability.
• Design and implement high-performance production-grade backend in Python; other languages (Rust/Go) welcomed for performance.
• Collaborate with cross-functional teams to productize AI solutions on Azure.

Skills

Backend engineering

Python

Kubernetes

Azure

REST API design

CI/CD

Testing

Docker

LLM integration

Performance

Education

Bachelor's or Master's in Computer Science or related field

Tools

Docker

Kubernetes

Azure App Services

PostgreSQL

Kong / Azure API Management

Job description

Pandora is seeking a Full Stack Engineer to help build scalable AI services on the Azure cloud. You will contribute across backend and frontend surfaces, integrate AI features, and ensure secure, reliable production-ready platforms.

You will work with Data Scientists, ML Engineers, and Product stakeholders, focusing on high-performance Python backend, Kubernetes workloads, and CI/CD pipelines, with opportunities to influence end-to-end experiences.