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2 дня назад

Fullstack Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Fullstack Engineer (AI): Building scalable, resilient AI services and platform capabilities on Microsoft Azure with an accent on infrastructure and backend engineering. Focus on designing high-performance standardized systems, operating containerized workloads on Kubernetes, and integrating generative AI/LLM features into production-grade end-to-end experiences.

Location: Wroclaw, Poland

Company

hirify.global, outsourcing company developing AI-powered platforms for retail/e-commerce clients like Pandora.

What you will do

  • Design and develop scalable backend services and platform components exposing AI/ML capabilities, contributing to frontend where needed.
  • Build, secure, and operate containerized workloads on Kubernetes, including configuration, observability, debugging, and security.
  • Implement high-performance production-grade backend in Python, using Rust or Go for performance-critical parts.
  • Collaborate with Data Scientists, ML Engineers, MLOps, and Product teams to productize AI solutions on Azure.
  • Build and manage CI/CD pipelines for deployment, testing, and monitoring of AI-enabled applications.
  • Ensure performance, availability, maintainability in production, handle incidents, participate in code reviews and architecture discussions.

Requirements

  • Bachelor's or Master's in Computer Science, Computer Engineering, or related field.
  • 3–6 years as Full-Stack or Backend Engineer, emphasis on backend/platform engineering.
  • Experience with generative AI features or LLM-based integrations in product/platform context.
  • Strong backend fundamentals: service architecture, REST API design, performance optimization, production reliability; hands-on with Docker, Kubernetes, Azure App Services.
  • Proficient in Python; PostgreSQL querying/analysis; Kubernetes (workload config, networking, security, debugging); ML serving infrastructure, caching, LLM APIs.
  • Platform testing (API, load/performance, auth, E2E for ML), test automation in CI/CD.
  • Excellent problem-solving, independent/team work, strong communication.

Nice to have

  • Retail/e-commerce experience.
  • High-performance languages like Rust or Go.
  • API/AI gateways (Kong, Azure API Management).
  • Frontend (HTML, CSS, JS, React, Next.js).

Culture & Benefits

  • Paid vacation and sick days.
  • Sport/insurance compensation.
  • English classes and training compensation.
  • Charity initiatives.
  • Collaborative, fast-paced, impact-driven team focused on innovation and reliable platforms.

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