AI Expert

For Euvic's Managed Team, we are looking for an AI Expert who will serve as the first point of contact in the field of artificial intelligence. We are looking for someone who not only knows modern AI solutions but is also able to assess their business value, design the appropriate architecture, and effectively lead the implementation into a production environment. The first project you will join will involve collaboration on the development of an Enterprise Document Management platform. The product handles millions of documents and is used by clients operating in environments with high compliance requirements. The main goal of the project is to design and implement semantic search, which will replace or extend the traditional approach based solely on full-text search and OCR. You will join an international product team and will be responsible for evaluating technologies, preparing architectural recommendations, selecting appropriate vector solutions, and transferring knowledge to the client's team. Technologies: RAG, Semantic Search, Vector Databases, Azure AI Search, Azure OpenAI, SQL Server 2025 VECTOR, pgvector, Pinecone, Qdrant, Weaviate, Elasticsearch/OpenSearch Dense Vectors, LLM, Embeddings, Hybrid Search, Reranking, .NET, MS SQL Server, Ollama, vLLM, ONNX Runtime, MCP, AI Agents Recruitment process flow: Technical interview with the team (approx. 60 minutes) covering architecture and experience from real AI implementations Optional interview with a technical representative of the client

IMPORTANT INFORMATION: During the recruitment process, at its subsequent stages, identity verification of the candidate will be required. The first day of work will take place on-site in one of the Euvic offices (onboarding, equipment collection). Euvic - over 5000 employees and 20 years of experience undoubtedly make us a large company. And yet, despite the passage of time and a steadily growing client base, we are still a company created by IT engineers for IT engineers. We are creating a dynamically developing company "with a human face," consisting of good people creating good software. This makes us a solid IT partner focusing on our own achievements, client successes, and employee professional satisfaction.

What do we offer?

an efficient, fast, and friendly recruitment process (not only skills are important to us, let's check together if you fit the Good People), work and development in a renowned IT company with an established market position, projects for international clients from many industries, a flat structure, an "open door" policy, and care for good relationships within teams, small teams in a large company and a friendly community within these teams, a transparent and attractive training program based on competency assessments, a bonus referral program, buddy support during the onboarding period, development within the organization – internal training, "Euvic Talks", the possibility of conducting internal training, participation in social initiatives – we support those in need with the involvement of The Good People Foundation.

At Euvic, we create a work environment based on equality, respect, and openness. We believe that diversity of talent and perspectives drives innovation and supports sustainable development.

Wondering if it's worth it?

In our internal #theGoodPeople survey, 4 key aspects were identified as being most valued: I decide for myself how best to perform my work. My manager is available, open to suggestions, and different opinions. I am treated with due respect. There is an atmosphere conducive to cooperation in my team.

Does this sound like a good workplace for you?

Choose your benefits: Cafeteria system (including Multisport card, tickets to sporting and musical events, and much, much more), Medical care, Life insurance with the possibility of purchasing additional packages, e.g., oncology care, Development initiatives.

We invite you to #theGoodPeople - professionals, enthusiasts, good people 🙂

Daily tasks

• Leading the most technically demanding AI projects carried out for the company's clients
• Designing architecture for solutions based on LLM, RAG, and Semantic Search
• Assessing the technological feasibility of new AI initiatives and recommending optimal solutions
• Analyzing the performance and scalability of solutions using vector databases and search engines
• Designing indexing pipelines, chunking strategies, and the embedding generation process
• Creating performance benchmarks and analyzing semantic search quality
• Making decisions regarding the use of vector databases and AI services in SaaS, private cloud, and on-premise environments
• Participating in discovery workshops, presales meetings, and technical consultations with clients
• Presenting and defending architectural recommendations to technical decision-makers on the client side
• Mentoring project teams and developing AI competencies within the organization
• Conducting internal training and defining standards and best practices in the field of artificial intelligence

Requirements

Documented production implementation of a solution using Semantic Search, Retrieval Augmented Generation (RAG), or vector technologies Practical experience with at least one vector database or service, such as Azure AI Search, pgvector, SQL Server VECTOR, Pinecone, Weaviate, Qdrant, or Elasticsearch/OpenSearch Dense Vectors Experience in designing document chunking strategies and building retrieval processes based on embeddings Knowledge of search quality assessment techniques, such as recall, precision, hybrid search, or reranking Ability to independently design AI solution architecture and make technological decisions Experience in analyzing the performance and scalability of production systems Ability to prepare technological benchmarks and present results to clients Very good knowledge of English, enabling daily cooperation in an international environment Readiness to work at the intersection of engineering, architectural, consulting, and presales roles Highly developed communication and presentation skills Nice to have: Knowledge of the Microsoft Azure ecosystem, especially Azure OpenAI and Azure AI Search Experience working with .NET technologies and Microsoft SQL Server Practical knowledge of self-hosted embedding and inference models (Ollama, vLLM, ONNX Runtime) Experience with systems delivered simultaneously in SaaS and on-premise models Knowledge of issues related to MCP, AI agents, and LLM orchestration Experience in conducting training, workshops, or technical mentoring Experience working with enterprise clients operating in regulated environments

Must have: .NET, Azure, SQL, Elasticsearch, CA, RAG

Nice to have: xUnit, NUnit, Azure DevOps, Microsoft Azure, Microsoft SQL Server, SaaS