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