AI Platform Engineer, Agentic Interfaces

Experience with agent frameworks such as Semantic Kernel, Microsoft Agent Framework, LangGraph, AutoGen, PydanticAI, the OpenAI Agents SDK or CrewAI.

Experience building reusable AI platforms, MCP ecosystems or shared engineering capabilities used across multiple products and teams.

Containerised platforms and infrastructure automation: Docker, Kubernetes.

Experience with Azure, AWS, GCP or another hyperscale cloud platform.

Reverse-engineering or interpreter work.

Token-efficient agent design.

Enterprise software domains: enterprise asset management, service management, manufacturing, supply chain, aerospace and defence, energy, telecommunications, construction, industrial AI.

Contributions to open-source projects, technical communities, conferences, publications or standards.

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.