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Intellias Linkedin · Posted 9d ago

AI Engineer

Romania

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Indexed description

Intellias helps retailers deliver consistent, omnichannel experiences through technology. We are looking for a hands-on AI Engineer to lead the technical design and delivery of enterprise AI agents and Model Context Protocol (MCP)-based integrations, building scalable solutions that drive performance and customer value.


The team will develop MCP services for local business applications and AI agents that consume both these local MCPs and services provided by a global platform team. The Senior AI Engineer will own solution design, support use-case discovery, provide technical leadership to the engineering team, and stay directly involved in implementation.


Required skills

  • Strong Python development skills.
  • Backend or integration engineering experience.
  • REST API development and integration.
  • Microsoft Azure experience.
  • Experience with LLM applications, tool/function calling or AI agents.
  • OAuth 2.0 / Microsoft Entra ID or similar identity technologies.
  • SQL and JSON.
  • Git and CI/CD.
  • Understanding of software engineering practices, testing and production support.
  • English communication skills.

Strong advantage

  • Model Context Protocol (MCP) experience.
  • Azure AI Foundry / Azure OpenAI.
  • Copilot Studio.
  • Semantic Kernel, LangGraph or other agent frameworks.
  • Azure Functions / API Management.
  • Power Automate.
  • Experience integrating AI solutions with enterprise applications.


Responsibilities:

  • Develop MCP servers/services for local applications.
  • Expose application capabilities, data and business operations to AI agents through secure MCP interfaces.
  • Integrate MCP services with existing REST APIs, databases and enterprise applications.
  • Develop AI agents consuming both local and global MCPs.
  • Implement agent instructions, tool calling, workflow logic and guardrails.
  • Implement authentication, authorization and secure access to enterprise systems.
  • Build reusable integration components and MCP tools.
  • Perform end-to-end testing of agents and MCP integrations.
  • Troubleshoot agent/tool interactions and integration failures.
  • Monitor agent performance, reliability, latency and cost.
  • Implement automated tests and CI/CD.
  • Work closely with the Senior AI Engineer, global AI/platform teams and application owners.
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