Senior AI Engineer (Agent Framework)

TL;DR

Senior AI Engineer (Agent Framework): Building scalable AI systems and orchestration solutions for a cloud platform with an accent on intelligent automation and reliable performance. Focus on enhancing a secure, cloud-based board management platform with intuitive meeting tools, real-time collaboration, and advanced analytics.

Location: Albania, Austria, Azerbaijan, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Hungary, Italy, Kazakhstan, Kosovo, Kyrgyzstan, Latvia, Lithuania, Luxembourg, Montenegro, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, The Netherlands, The Republic of Moldova, Turkmenistan

Salary: EUR 2800 - 4550 per month (gross)

Company

hirify.global delivers professional and technology-enabled solutions that support effective collaboration, structured communication, and operational efficiency for organizations.

What you will do

• Translate product requirements into AI workflows and quality criteria.
• Design, implement, and optimize prompts using LangFuse.
• Build evaluation datasets from real customer scenarios.
• Establish quality gates and measurement systems (precision, recall, accuracy).
• Set up and maintain LangFuse for observability and prompt experimentation.
• Tune workflows based on production telemetry and evaluation results.

Requirements

• Experience in software engineering for 5+ years, including deep expertise in .NET/C# and building production microservices in Azure.
• Experience in developing LLM-powered applications for 2+ years, including at least one production agentic or multi-step AI system.
• Bachelor's degree in computer science, Engineering, IT, or equivalent experience.
• Experience with Semantic Kernel or similar agent frameworks (e.g., LangChain, AutoGen).
• Strong understanding of prompt engineering, context management, and LLM behavior control.
• Level of English – from Intermediate+ and above.

Nice to have

• Experience with Model Context Protocol (MCP) — building servers, consuming tools, and managing resource exposure.
• Solid understanding of Azure AI Search - index design, hybrid retrieval, semantic ranking, and integration patterns.
• Familiarity with Microsoft Agent Framework or multi-agent coordination patterns.
• Experience with Azure OpenAI Service, fine-tuning, or model deployment pipelines.

Culture & Benefits

• Work with leaders in FinTech, Healthcare, Retail, Telecom, and others.
• Opportunity to change the project and/or develop expertise in an interesting business domain.
• Work fully remotely, from the office, or choose a hybrid variant.
• Systems of mentoring and adaptation for each new employee.
• Access to the corporate training portal and bright corporate life.