KBC Technologies Group
AI Platform Engineer
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AI Platform Engineer
Hands-On Lead / Senior AI Engineer – MCP Infrastructure Development (3 Months)
Role Overview
We are seeking Hands-on Lead / Senior AI Engineers for a high-priority, 3-month engagement focused on building next-generation Model Context Protocol (MCP) server-based connectivity infrastructure on Microsoft Azure.
The role requires strong technical execution skills, deep expertise in Azure AI ecosystems, and the ability to deliver fast, production-grade solutions from day one.
Key Responsibilities
1. MCP Infrastructure Development
- Design, develop, and manage MCP servers and gateway infrastructure
- Implement secure, scalable, and observable AI connectivity layers
- Apply policies, routing logic, and governance controls across MCP ecosystems
- Ensure seamless integration between AI tools, agents, and backend services
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2. AI Integration & Technical Leadership
- Lead engineering efforts for integrating AI agents with applications and MCP servers
- Define and enforce architecture standards and best practices
- Collaborate with cross-functional teams for alignment with Azure AI architecture
- Provide technical direction for AI connectivity and orchestration layers
3. System Optimization & Reliability
- Identify and resolve performance bottlenecks in AI infrastructure
- Optimise Azure-based AI workloads for scalability and efficiency
- Ensure stability of end-to-end MCP and AI integration pipelines
- Improve observability, monitoring, and system diagnostics
Required Skills & Experience
Cloud AI Expertise
- Expert-level hands-on experience with Azure AI Foundry (Azure AI Studio)
- Strong understanding of Azure AI ecosystem and services
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MCP & Integration Engineering
- Proven experience in designing and deploying MCP servers
- Strong background in system integration, APIs, and connectivity frameworks
- Experience in building AI agent-based architectures
Programming & Engineering Skills
- Strong proficiency in Python (mandatory)
- Experience in building production-grade backend systems
Cloud Platform Experience
- Strong experience in Microsoft Azure
- Exposure to distributed systems and cloud-native architecture
Soft Skills
- Excellent stakeholder communication and collaboration
- Ability to work in fast-paced, high-pressure environments
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