Agentic AI Platform Engineer

Job Summary

Agentic AI Platform Engineer (all genders). Your Role As an Agentic AI Platform Engineer, you contribute hands-on to building and operating a growing enterprise agentic AI platform. Working within an experienced team and with guidance from senior colleagues, you apply established engineering methods to develop, integrate, and maintain platform capabilities - from Model Context Protocol (MCP) tooling and Agent-to-Agent (A2A) communication patterns to CI/CD pipelines and API security. Your work directly supports the reliability and quality of platform services used across the organisation.

Responsibilities

• Your Role As an Agentic AI Platform Engineer, you contribute hands-on to building and operating a growing enterprise agentic AI platform.
• Working within an experienced team and with guidance from senior colleagues, you apply established engineering methods to develop, integrate, and maintain platform capabilities - from Model Context Protocol (MCP) tooling and Agent-to-Agent (A2A) communication patterns to CI/CD pipelines and API security.
• Your work directly supports the reliability and quality of platform services used across the organisation.

Requirements

• You hold a degree in Computer Science, Software Engineering, or a related field, or bring equivalent professional experience, with 3+ years in backend or platform engineering.
• You have practical experience with MCP (Model Context Protocol) concepts - including tools, resources, prompts, and server lifecycle management - and familiarity with Agent-to-Agent (A2A) communication patterns such as agent discovery and task delegation.
• You are comfortable working with cloud platforms and agentic AI frameworks (such as LangGraph or comparable technologies) to support the deployment and operation of agent workloads.
• You have working knowledge of API security practices, including OAuth 2.0, SSO, and standard authentication flows, and can apply these within established guidelines.
• You have hands-on experience building or maintaining CI/CD pipelines and infrastructure automation, ideally using Azure DevOps or similar tooling.
• You can perform basic performance testing and troubleshooting for APIs and platform services, and are willing to grow your skills in scalability and reliability engineering.
• You are a collaborative team member who communicates clearly, follows established processes, and is comfortable asking for guidance when navigating new or complex challenges.
• Exposure to agent memory or state management, Envoy Proxy, mTLS, or API security hardening is a plus.

Skills

• MCP (Model Context Protocol) tooling
• A2A communication patterns
• CI/CD pipelines
• API security
• OAuth 2.0
• SSO
• Azure DevOps
• LangGraph
• Cloud platforms

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.