AI Engineer

Andersen is hiring an AI Engineer for a project developing enterprise AI solutions and accelerating Generative AI adoption through scalable automation and intelligent services. The customer is a technology-oriented service provider offering a range of digital, connectivity, and business solutions to both individual and organizational clients. Its activities include communication services, digital platforms, infrastructure solutions, and technology-enabled services designed to support everyday needs and business operations. The project is focused on expanding enterprise AI and data capabilities to accelerate Generative AI adoption across a telecommunications organization. It includes developing AI copilots, intelligent search, document intelligence, and agent-based automation while ensuring secure, scalable, production-ready implementation and measurable business value.

Responsibilities: - Designing and developing GenAI solutions using Azure AI Foundry and Azure OpenAI Service. - Building Retrieval-Augmented Generation (RAG) platforms and AI copilots. - Developing agentic AI workflows and autonomous AI assistants. - Implementing document intelligence and enterprising knowledge management solutions. - Building and optimizing vector search, embeddings, retrieval pipelines and re-ranking mechanisms. - Integrating AI capabilities with enterprise data platforms and business systems. - Creating production-grade evaluation, monitoring and observability frameworks for AI solutions. - Implementing LLMOps and MLOps practices using Azure-native tooling. - Ensuring compliance with security, privacy, governance and data residency requirements. - Collaborating with business teams to identify AI opportunities and deliver PoCs and production solutions. - Optimizing AI workloads for quality, latency and cost efficiency. - Supporting deployment and operation of AI solutions in enterprise environments.

Requirements: - Experience in AI Engineering, Machine Learning Engineering, Data Science, or related field for 4+ years. - At least 1.5-2 years of hands-on production experience with LLM and Generative AI solutions. - Strong Python development skills. - Experience with Azure AI Foundry. - Experience with Azure OpenAI Service. - Experience building RAG solutions in production. - Experience with embeddings, vector search, hybrid search and retrieval optimization. - Knowledge of LangChain, Semantic Kernel or similar AI frameworks. - Experience with Azure AI Search. - Understanding of AI evaluation frameworks, guardrails and observability. - Experience integrating AI solutions with enterprise data platforms. - Knowledge of Azure networking and security concepts. - Experience with REST APIs. - Docker experience. - Git-based development workflows. - Level of English – from Upper-Intermediate and above.

Nice to have: - AKS (Azure Kubernetes Service). - Azure Machine Learning. - Microsoft Fabric. - Azure Databricks. - Azure Synapse Analytics. - Azure Data Lake. - Multi-agent systems and agent orchestration. - Document intelligence and OCR use cases. - Telecom industry experience. - Experience in regulated environments with data residency requirements. - Microsoft AI certifications (AI-102 or similar). - Experience with customer analytics, recommendation engines, Next Best Action or Collection Intelligence solutions. - Experience supporting AI solutions in production environments.

Compensation: 3050–5250 EUR per month.