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10 часов назад

Senior .NET Developer (AI)

20 000 - 22 000PLN
Формат работы
hybrid
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

Senior .NET Developer (AI): Building and maintaining the cloud infrastructure backbone for an AI-native enterprise platform with an accent on MCP-based architecture, semantic search, and agentic systems. Focus on designing scalable Azure environments, implementing multi-tenant isolation, and ensuring high availability for large-scale enterprise applications.

Location: Must be based in or able to work from Białystok, Poland (Hybrid: 3 days in office required)

Salary: 20,000–22,000 PLN (Gross/Net)

Company

hirify.global is an award-winning provider of innovative digital products for the modern workplace, focusing on enterprise-grade employee experience platforms.

What you will do

  • Design and maintain cloud infrastructure on Microsoft Azure for the MCP Graph Broker.
  • Develop scalable APIs and integrate AI services into enterprise SaaS environments.
  • Configure multi-tenant isolation, load balancing, and real-time monitoring mechanisms.
  • Prepare production-grade environments to support 500,000+ daily users.
  • Translate research on orchestration layers into sound, scalable architectural solutions.

Requirements

  • 5+ years of commercial experience in building scalable web applications and backend services.
  • Strong proficiency in .NET, ASP.NET MVC, Web API 2, MS SQL, and Entity Framework.
  • Solid understanding of Azure cloud services, microservices, and API management.
  • Fluency in Polish (C1+) and English (B2+).
  • Ability to work from Białystok, Poland, with a hybrid schedule (3 days in office).
  • Experience with vector databases, RAG systems, and MCP protocol.

Nice to have

  • Experience with agent orchestration patterns (routing, memory management, tool use).
  • Knowledge of multi-tenant architecture and data isolation in SaaS.
  • Practical experience with LLM fine-tuning, RLHF, and prompt engineering.

Culture & Benefits

  • Direct impact on the architecture of a large-scale enterprise AI platform.
  • Flexible hybrid work model.
  • Professional development budget, certifications, and knowledge sharing.
  • Private healthcare and Multisport card.

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