We are looking for a hands-on

Senior AI Engineer

to lead the technical design and delivery of enterprise AI agents and MCP-based integrations. The team will develop

Model Context Protocol (MCP) services for local business applications

and build AI agents that consume both these local MCPs and MCP 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 participate directly in implementation. Required skills

Experience building

LLM-based applications, AI agents or agentic workflows . Strong knowledge of REST APIs and enterprise integrations. Experience with authentication/authorization such as OAuth 2.0 and Microsoft Entra ID. Understanding of tool/function calling and agent‑to‑system integration patterns. SQL, JSON, Git and CI/CD. Ability to design production‑grade solutions and provide technical leadership. Strong advantage

Power Automate. Agent orchestration frameworks such as Semantic Kernel, LangGraph or similar. Azure Functions / API Management / Logic Apps. Experience with enterprise AI governance, evaluation and observability.



Responsibilities:

Lead technical discovery and translate business use cases into AI/agentic solution designs. Design the architecture of AI agents and their interaction with local and global MCP services. Design and develop MCP services exposing capabilities of local applications to AI agents. Build enterprise AI agents and agentic workflows. Integrate agents with multiple MCP servers, APIs and enterprise systems. Define agent instructions, reasoning flows, tool‑selection logic, approval workflows and human‑in‑the‑loop guardrails. Define reusable patterns and engineering standards for MCP and agent development. Lead and support other AI engineers during implementation. Ensure compliance with enterprise security, architecture and AI governance requirements. Define and monitor agent quality and performance metrics, including task completion, tool failures, hallucinations, latency and cost. Collaborate with global AI/platform teams to ensure interoperability between local and integral MCP capabilities.

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📌 Senior AI Engineer / Technical Lead (Agentic AI & MCP) (Madrid)
🏢 Intellias
📍 Madrid