Senior AI Engineer (Rag)

TL;DR

Senior AI Engineer (RAG): Building AI features and scalable infrastructure for a cloud platform with an accent on intelligent workflows, analytics, and reliable system 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). Final compensation depends on experience and location and professional growth.

Company

hirify.global is hiring a Senior AI Engineer (RAG) to build AI features and scalable infrastructure for a cloud platform, enabling intelligent workflows, analytics, and reliable system performance.

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).
• Tune workflows based on production telemetry and evaluation results.
• Partner with Product and QE on acceptance criteria and test strategy.

Requirements

• Experience in software engineering for 6+ years, including building and operating production systems.
• Experience in designing and scaling enterprise RAG or semantic search systems for 3+ years.
• Bachelor's degree in computer science, Engineering, IT, or equivalent experience.
• Experience with .NET/C# and building production applications on .NET Core with deep expertise.
• Experience with embeddings, vector databases, and semantic search (indexing, hybrid retrieval, ranking), Azure AI Search preferred.
• Level of English – from Intermediate+ and above.

Nice to have

• Experience with Azure Content Understanding or Azure AI Document Intelligence for multimodal document processing, including extraction from PDFs with complex layouts and audio/video content.
• Familiarity with Microsoft Semantic Kernel or comparable orchestration frameworks and how RAG pipelines integrate with broader agentic workflows.
• Experience operating in regulated or enterprise environments with strict compliance requirements (SOC 2, ISO 27001, HIPAA, GDPR).
• Background in SaaS platforms with multi-tenant data isolation and retrieval requirements.
• Experience working across multiple product lines or platform teams, shaping shared patterns adopted beyond a single codebase.

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.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth!
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).