Python MCP Engineer

Intellias is looking for a Python MCP Engineer to join the Core Architecture Team working on enterprise AI and cloud platform solutions. In this role, you will design and develop services based on the Model Context Protocol (MCP), enabling seamless integrations between AI agents, enterprise systems, and external tools. You'll work with modern Python technologies, asynchronous architectures, cloud-native services on AWS, and observability solutions to build scalable, secure, and production-ready backend services. If you're passionate about backend engineering, distributed systems, and the rapidly evolving AI ecosystem, this is an opportunity to work on innovative technologies used at enterprise scale. About the projectOur client is a global enterprise operating in more than 180 countries with a portfolio of over 700 business applications. Intellias supports the client in developing a comprehensive Digital Engineering Platform that accelerates software delivery across multiple engineering teams. The platform provides reusable services, infrastructure, security standards, and engineering best practices, enabling faster and more reliable development of enterprise applications, digital products, and IoT solutions. As part of the Core Architecture Team, you will contribute to building the next generation of AI-powered platform capabilities focused on interoperability between AI agents, enterprise services, and cloud-native applications. ResponsibilitiesDesign, develop, and maintain MCP servers using Python and FastMCPBuild API-driven integrations between AI agents, enterprise platforms, and external servicesDevelop scalable backend services using FastAPI, asyncio, and PydanticImplement Model Context Protocol (MCP) server-side functionalityDeploy and maintain cloud-native services on AWS using Lambda and API GatewayBuild secure containerized workloads following security best practicesImplement observability with OpenTelemetry, including tracing, metrics, and structured loggingCreate and maintain API contracts, schemas, validation logic, and technical documentationOptimize application performance, scalability, and reliabilityDevelop automated testing for integration workflowsCollaborate with AI platform and engineering teams to enable reliable tool integrationTroubleshoot production issues and continuously improve platform servicesRequirements4+ years of professional experience with PythonStrong experience building backend services and API integrationsHands-on experience with asynchronous Python frameworks such as FastAPI or aiohttpExperience with FastMCPStrong knowledge of asyncio and PydanticExperience implementing server-side MCP servicesPractical experience with AWS Lambda and API GatewayUnderstanding of distributed systems and API-driven architecturesExperience with OpenTelemetry (traces, metrics, logs)Knowledge of container security best practicesStrong problem-solving skills and ability to work independentlyGood communication skills and English proficiency suitable for an international environmentNice to haveExperience with LangGraph integrationsExposure to AWS Bedrock or AgentCoreExperience working with AI agent frameworksFamiliarity with cloud-native architectures and enterprise integration platformsWhy join Intellias? At Intellias, you'll work on large-scale enterprise platforms that combine cloud technologies, AI, and modern software engineering practices. You'll collaborate with experienced engineers, contribute to architectural decisions, and help build solutions that support development teams operating on a global scale. This role offers the opportunity to work with emerging AI integration technologies while solving complex engineering challenges in a collaborative international environment.