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. #J-18808-Ljbffr

📌 Senior AI Engineer (Comunidad Valenciana)
🏢 Intellias
📍 Comunidad Valenciana