Agentic Integration & MCP Engineer

Quick Facts

• Role: Design and deliver agent-to-enterprise integrations using Model Context Protocol (MCP)

Description

You will design and deliver next-generation integrations that connect AI agents with enterprise systems, APIs, data sources, and business processes. Working with international engineering and AI teams, you will build secure MCP servers, agent tools, and event-driven workflows to bring GenAI into production with platform governance. You will also establish reusable patterns, components, and practices for safe, production-grade agent integrations.

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 software engineering experience (Python, TypeScript, Java, or .NET), including API design and distributed systems integration

• Hands-on experience with Model Context Protocol, tool calling, agent orchestration, or comparable agent integration approaches

• Practical knowledge of agent/AI frameworks such as Semantic Kernel, LangGraph, LangChain, Azure AI Foundry, OpenAI APIs, Claude APIs, or similar

• Strong understanding of REST, OpenAPI, OAuth 2.0, OpenID Connect, event-driven architecture, messaging, and secure system integration

• Experience with RAG, embeddings, and vector databases (preferred)

• Knowledge of evaluation, prompt and tool versioning, and observability (e.g., OpenTelemetry, Langfuse, Arize Phoenix)

• Excellent English communication and strong engineering judgment

• Commitment to building an Agentic Integration and MCP Center of Excellence with responsible AI adoption and secure engineering standards

Benefits

• Private medical care with Medicover (additional packages like dental, senior care, oncology), life insurance, and 40+ options on a NAIS benefit platform (e.g., Netflix, Spotify, sports cards)

• Access to 70+ training tracks with certification opportunities (e.g., GenAI, Architects, Google) plus free Education First languages access, TED Talks, and Udemy Business materials

• Hybrid working model with modern office + ergonomic work-from-home setup (laptop, monitor, chair) after onboarding

• Community hub with 20+ professional communities (e.g., Salesforce, Java, Cloud, IoT, Agile, AI)