AI Engineer - Artificial Intelligence Engineer

Hands-on experience building LLM-based solutions in production (not only POCs)

• Microsoft Copilot Studio: building, testing, and publishing agents (topics, actions, knowledge sources, connectors)
• Power Apps: Canvas and Model-driven apps, Dataverse
• Power Automate: cloud flows, approvals, connectors, and integration with agents
• Cursor (or similar AI-assisted coding tools) to speed up development and improve code quality
• AWS: Amazon Bedrock (including Knowledge Bases and Agents), SageMaker, Lambda, API Gateway, S3, and IAM
• Azure: Azure OpenAI / Azure AI Foundry
• Prompt engineering and RAG (Retrieval-Augmented Generation)
• Strong Python; APIs and REST integrations
• Vector databases and search (Amazon OpenSearch, Azure AI Search, or equivalent)
• Integration with enterprise systems (ServiceNow, SharePoint, Dataverse, ERP)
• Responsible AI practices: security, data privacy, guardrails, and output evaluation
• CI/CD, Git, and cloud deployment on AWS and Azure