Agentic Integration & MCP Engineer

Quick Facts

• Build secure MCP servers, agent tools, and enterprise integrations
• Focus on agentic AI workflows, governance, observability, and production CI/CD

Description

Design and deliver next-generation integrations that connect AI agents with enterprise systems, APIs, data sources, and business processes. Work with international engineering and AI teams to build secure MCP servers, agent tools, and event-driven workflows that bring GenAI into production. Combine software engineering, enterprise integration, agentic AI, and platform governance.

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 development experience (Python, TypeScript, Java, or .NET), including API design and distributed system integration
• Hands-on experience with Model Context Protocol (MCP) and/or tool calling and agent orchestration
• Strong understanding of REST, OpenAPI, OAuth 2.0, OpenID Connect, event-driven architecture, messaging, and secure system integration
• Preferred: practical knowledge of Semantic Kernel, LangGraph, LangChain, Azure AI Foundry, OpenAI APIs, Claude APIs, or similar frameworks
• Preferred: experience with RAG, embeddings, vector databases, enterprise search, or semantic data access
• Preferred: knowledge of AI evaluation, prompt and tool versioning, OpenTelemetry, and observability tools such as Langfuse or Arize Phoenix
• Excellent English and strong engineering judgment

Benefits

• Private medical care (Medicover) with additional packages (e.g., dental, senior care, oncology), plus life insurance and 40+ options on a benefits platform
• Access to 70+ training tracks with certification opportunities (e.g., GenAI, Architects, Google) and learning resources
• Hybrid working model with office work and ergonomic home office equipment (laptop, monitor, chair)
• Community hub with 20+ professional communities (e.g., Salesforce, Java, Cloud, IoT, Agile, AI)