Назад
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4 часа назад

Senior Artificial Intelligence/Machine Learning Engineer (Azure)

3 400
Формат работы
remote (только Slovakia)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Slovakia
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 Artificial Intelligence/Machine Learning Engineer (Azure): Designing and implementing a multi-agent AI orchestration architecture for a consumer healthcare product line with an accent on LLM integration, knowledge graph design, and production-grade deployment on Azure. Focus on mitigating hallucinations, implementing reliability techniques, and building scalable data pipelines.

Location: Must be based in Slovakia (Remote/Hybrid options available)

Salary: from €3,400 gross

Company

hirify.global is a custom product engineering company supporting multinational organizations and scaling startups with high-end technology solutions.

What you will do

  • Design and implement end-to-end multi-agent orchestration architecture.
  • Build knowledge graphs and data pipelines across multiple critical data sources.
  • Integrate and prompt-engineer LLMs via Azure OpenAI using reliability techniques like self-reflection loops and confidence gating.
  • Deploy systems using Azure AKS, Azure Functions, Cosmos DB, and Azure SQL.
  • Collaborate with domain SMEs on UAT, back-testing, and sensitivity testing.

Requirements

  • Strong production experience building multi-agent or agentic LLM systems, orchestration frameworks, and RAG.
  • Hands-on proficiency with Azure stack: Azure OpenAI Service, AKS, Cosmos DB, Azure SQL, and Blob Storage.
  • Expertise in knowledge graph design and Python-based data pipeline engineering.
  • Proven track record with hallucination mitigation and evaluation harnesses.
  • Experience working directly with non-technical domain experts for technical validation.
  • Must be based in Slovakia.

Nice to have

  • Prior experience in R&D, CPG, or regulated-industry deployments.
  • Experience with Monte Carlo or NumPy simulation sandboxes.
  • Background in patent or regulatory-aware AI workflows.

Culture & Benefits

  • Collaborative, open-door culture with global exposure and international team interaction.
  • Fast-paced, agile environment that champions efficiency and innovation.
  • Learning support including Udemy access, internal meetups, and company-paid certifications.
  • Flexible work arrangement allowing a balance between office and remote work.
  • Comprehensive benefits package aligned with market standards.

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