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 haves:

• 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.

Reasons why this job would be interesting to you:

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The 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! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• 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).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and sports compensation, depending on the type of employment.

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