Must have

• AI

• Microsoft Azure

• Power Platform

• Power Automate

• Cloud

• English

Nice to have

• Python

• SDK

• OAuth

• Prototyping

• SAP

• Oracle

Requirements description

• 4+ years in Conversational AI development, with hands-on experience in Microsoft Copilot Studio.
• Strong skills in building custom connectors and actions within Power Platform or Logic Apps.
• Expertise with Microsoft Azure AI services (Azure AI Foundry, AI Agent Service, Semantic Kernel).
• Solid understanding of Power Platform integration (Power Automate, Power Apps, Dataverse).
• Experience connecting enterprise data via Microsoft Graph or similar connectors.
• Proven record in delivering secure, scalable AI solutions.
• Leadership experience in designing generative AI solutions, including scoping and client engagement.
• Understanding of cloud architecture, enterprise integration patterns, and responsible AI engineering.
• Awareness of AI-driven transformation and automation opportunities within enterprise contexts.
• Familiarity with multi-agent systems, reasoning engines, and autonomous agent design.

Nice to Have:

• Python skills for programmatic Copilot Studio interaction (e.g. Semantic Kernel).
• Familiarity with Microsoft 365 Agents SDK and OAuth 2.0 / Entra ID for secure integrations.
• Experience with rapid prototyping of agentic and generative AI.
• Understanding of AI safety frameworks.
• Background in consulting or a client-facing technical role.
• Knowledge of SAP, Oracle, or other major enterprise systems integrations.

Offer description

Microsoft Copilot Studio Senior Engineer

Location: Hybrid (Kraków/Katowice/Warszawa/Poznań/Opole/Lublin/Gdańsk)

Your Role

As a Senior Engineer specializing in Microsoft Copilot Studio, you’ll design, build, and deliver advanced AI assistants that help enterprises work smarter. You’ll work at the crossroads of AI, automation, and enterprise systems — connecting Copilot Studio with Microsoft Power Platform, Azure, and key business applications.

Your work will shape how organizations use AI safely and effectively at scale. Beyond hands-on engineering, you’ll guide architectural decisions, mentor junior engineers, and help define the best practices for AI agent development across the company.

Benefits:

• Private medical care with Medicover (plus dental, senior, and oncology options), life insurance, and 40+ perks via the NAIS platform — from Netflix to sports cards.
• Hybrid work your way. Office work: approximately 40% per month.
• Buddy program.
• Access 70+ learning tracks and certifications (GenAI, Business Analysis, Project Management, etc.) plus free access to EF language courses.

Your responsibilities

1. You’ll take full ownership of the AI agent development lifecycle — from concept and design to integration, deployment, and optimization.
2. Building and maintaining custom connectors for external APIs and data sources.
3. Developing advanced conversational capabilities powered by large language models.
4. Ensuring all solutions meet enterprise-grade security, compliance, and performance standards.
5. Troubleshooting, optimizing, and maintaining deployed agents.
6. Providing technical leadership for cross-platform integrations and AI-driven automation initiatives.