Senior Artificial Intelligence/Machine Learning Engineer (Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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