Agentic Integration & MCP Engineer

Quick Facts

• Role: Agentic Integration & MCP Engineer

Description

Design and deliver integrations that connect AI agents with enterprise systems, APIs, data sources, and business processes. Build secure MCP servers, agent tools, and event-driven workflows to bring GenAI into production, with identity and safety governance built in. Contribute reusable components and reference architectures to support 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 the AI and Integration communities

Requirements

• 4+ years of software engineering experience in Python, TypeScript, Java, or .NET, including API design and integration with distributed systems

• Hands-on experience with Model Context Protocol (MCP) and tool calling/agent orchestration (or comparable agent integration approaches)

• Practical knowledge of frameworks and platforms 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, vector databases, or enterprise search is preferred

• Knowledge of evaluation, prompt and tool versioning, and observability tools such as OpenTelemetry, Langfuse, or Arize Phoenix (or comparable)

• Excellent English and strong engineering judgment

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

Benefits

• Private medical care with additional packages (e.g., dental, senior care, oncology)

• Life insurance and 40+ benefit 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) and additional learning resources

• Hybrid working model with a home office package after onboarding

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