Copilot & Agent Engineer

We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation.

Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80.

We've restructured our own company around AI - tools, policies, roles, delivery models. We are hiring engineers to run this AI-native transformation for others.

• Hands-on experience with Microsoft Copilot Studio and M365 Copilot ecosystem
• Strong understanding of agent architecture fundamentals
• Experience integrating AI agents with enterprise systems via REST APIs, custom connectors, or service endpoints
• Proficiency in Copilot Studio and C# for custom extensibility
• Working knowledge of Power Platform: Power Automate, Power Apps, custom connector development

Nice to have:

• Microsoft Certified: AI Agent Builder Associate (Exam AB-620) or equivalent hands-on project depth
• Familiarity with Model Context Protocol (MCP) and multi-agent orchestration patterns
• Exposure to Azure AI Foundry or Azure OpenAI Service for custom model grounding and retrieval-augmented generation
• Background in financial services or regulated industries with data governance and audit trails
• Prior experience deploying Microsoft 365 Copilot at enterprise scale
• Hands-on experience with hybrid orchestration patterns using Power Automate, Logic Apps, or Microsoft Foundry workflows
• Familiarity with Copilot Cowork and cloud-sandboxed agent execution
• Exposure to data systems common in private equity such as deal rooms, portfolio management platforms, document repositories, IC workflow tooling

Core Technical Skills:

• Hands-on experience with Microsoft Copilot Studio and the broader M365 Copilot ecosystem including building and deploying agents to production environments
• Strong understanding of agent architecture fundamentals: tool calling, orchestration, state management across turns and sessions
• Experience integrating AI agents with enterprise systems via REST APIs, custom connectors, or service endpoints
• Versatility across low-code/pro-code spectrum: proficiency in Copilot Studio for rapid prototyping, with C# as primary baseline for custom extensibility; experience with Python or other script languages is a strong plus
• Working knowledge of Power Platform: Power Automate (cloud flows and desktop flows), Power Apps for agent-adjacent interfaces, custom connector development

Additional Responsibilities:

• Custom AI agents in Copilot Studio and Microsoft Agent 365 from discovery and design through to production deployment
• Power Automate flows and Power Apps experiences that extend agent capabilities into operational workflows
• Custom connectors and API integrations connecting Copilot-based agents to internal corporate systems and third-party services
• Choosing appropriate workflows: deterministic agent flows, generative orchestration with intercept points, multistage approvals, or external workflow engines
• Durable cross-day processes that survive retries, restarts, and approval delays
• Designing agents for re-entrance and idempotency
• Testing and observability frameworks: logging agent behavior, validating outputs, monitoring outcomes, and building quality controls for compliance and audit
• Governance and access control architecture ensuring agents operate within identity, permissions, and data classification boundaries