Agentic Integration & MCP Engineer

Quick Facts

• Role: Agentic Integration & MCP Engineer

Description

Design and deliver next-generation integrations that connect AI agents with enterprise systems, APIs, data sources, and business processes. Build secure MCP servers, agent tools, and event-driven workflows that take GenAI into production with strong platform governance. Work with international engineering and AI teams to establish reusable patterns and production-grade practices.

Responsibilities

• Design and develop MCP servers, agent tools, and secure connectors to enterprise systems
• Integrate AI agents with APIs, databases, knowledge sources, messaging platforms, and SaaS products
• Build agentic workflows using orchestration frameworks and event-driven integration patterns
• Implement identity, authorization, secrets management, auditability, and guardrails for agent actions
• Create evaluation, tracing, monitoring, and CI/CD practices for production-grade agent integrations
• Contribute reusable components, reference architectures, and technical workshops for AI and Integration communities

Requirements

• 4+ years of experience in Python, TypeScript, Java, or .NET development, including API design and distributed systems integration
• Hands-on experience with Model Context Protocol, tool calling, agent orchestration, or comparable agent integration approaches
• Preferred: practical knowledge of Semantic Kernel, LangGraph, LangChain, Azure AI Foundry, OpenAI APIs, Claude APIs, or similar frameworks
• Strong understanding of REST, OpenAPI, OAuth 2.0, OpenID Connect, event-driven architecture, messaging, and secure system integration
• Preferred: experience with RAG, embeddings, vector databases, enterprise search, or semantic data access
• Knowledge of evaluation, prompt and tool versioning, OpenTelemetry, Langfuse, Arize Phoenix, or comparable AI observability solutions
• Excellent English and strong engineering judgment
• Commitment to building an Agentic Integration and MCP Center of Excellence for responsible, secure AI adoption

Benefits

• Private medical care (Medicover) with additional packages (e.g., dental, senior care, oncology)
• Life insurance
• 40+ benefit options on a NAIS benefit platform
• Access to 70+ training tracks with certification opportunities (NEXT platform), plus free Education First language access, TED Talks, and Udemy Business materials
• Hybrid working model with modern office work and ergonomic work-from-home package after onboarding (laptop, monitor, chair)
• Community Hub with 20+ professional communities (e.g., Salesforce, Java, Cloud, IoT, Agile, AI)