AI engineer for enterprise data

Join an international AI team driving the adoption of Generative AI across the business, building enterprise-grade AI assistants, agents, and intelligent solutions that create real business impact.

• Design, develop, and deploy scalable AI applications using Generative AI technologies.
• Build and optimize AI Agents, Copilots, and intelligent automation solutions.
• Develop and maintain RAG pipelines, knowledge retrieval systems, and enterprise AI assistants.
• Integrate AI capabilities with business applications, APIs, and enterprise platforms.
• Work with Azure AI Services, Azure OpenAI, and Azure AI Foundry to deliver production-ready AI solutions.
• Implement prompt engineering, evaluation frameworks, and monitoring capabilities for AI applications.
• Ensure reliability, scalability, security, and performance of AI solutions.
• Collaborate with cross-functional teams to understand business needs and identify AI opportunities.
• Contribute to architecture decisions and AI best practices across the organization.
• Support the continuous improvement of AI platforms, frameworks, and development processes.
• Stay up to date with emerging AI technologies, frameworks, and industry trends.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
• Fluent (mandatory)
• 3+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering
• Experience building and deploying AI solutions in production environments
• Hands-on experience with Generative AI, LLMs, AI Agents, or RAG solutions
• Experience working in cloud environments, preferably Azure
• Strong programming skills in Python.
• Experience with SQL and working with enterprise data sources.
• Hands-on experience building AI-powered applications using Large Language Models (LLMs).
• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Knowledge of AI Agents, orchestration frameworks, and tool-calling patterns.
• Experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, or similar AI platforms.
• Experience integrating AI solutions with APIs and enterprise systems.
• Understanding of prompt engineering, evaluation, monitoring, and optimization of LLM-based solutions.
• Experience deploying and operating AI solutions in production environments.
• Knowledge of software engineering best practices, testing, CI/CD, and version control.
• Ability to collaborate with technical and business stakeholders to translate requirements into AI solutions.
• Strong problem-solving and communication skills.
• Будет плюсом: Experience with LangChain, LangGraph, Semantic Kernel, or similar orchestration frameworks; Knowledge of Model Context Protocol (MCP); Experience with vector databases and semantic search solutions; Experience with Docker and containerized deployments; Knowledge of MLOps and AI observability tools; Experience with enterprise productivity ecosystems such as Microsoft 365; Experience with Snowflake or modern data platforms; Azure certifications related to AI or Cloud technologies

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