Applied AI Engineer

Skills

Microsoft AzureAgentic WorkflowsModel Context ProtocolOpen-Source SoftwarePythonSDK Development

Role

What the job involves

The main requirements, responsibilities and hiring steps.

5+ years of backend platform or infrastructure engineering experience
Experience building developer-facing products such as APIs SDKs integrations developer platforms or open source frameworks
Hands-on experience shipping production integrations with third-party platforms
Strong experience with APIs SDKs developer tooling or platform engineering
Practical experience with Model Context Protocol or modern AI application frameworks preferred
Deep understanding of API design versioning authentication and developer experience best practices
Comfort collaborating with senior engineers and technical stakeholders on complex integrations
Experience with AWS Microsoft Azure or Google Cloud developer services is a strong plus
Proven ability to thrive in fast-paced environments and deliver high-quality solutions quickly
Experience owning the full software development lifecycle from architecture to ongoing support

Design and build production-ready MCP servers APIs SDKs and developer integrations
Develop strategic integrations with cloud providers AI platforms IDEs and developer ecosystems
Partner with Product and Business Development to turn partnership ideas into scalable engineering solutions
Lead cloud marketplace integrations and create reusable tooling for rapid partnership launches
Build intuitive developer experiences through APIs SDKs documentation and implementation examples
Collaborate across teams to deliver successful launches and long-term adoption
Help shape AI-native software development through technical innovation and platform integrations