AI Platform Engineer, Agentic Interfaces
Core
Build and operate the interface, semantic layer, and controls enabling AI agents to safely work within IFS enterprise software.
Role type
Senior IC AI Platform Engineer (Agentic Interfaces)
Builds
MCP servers, semantic layers (ontology/knowledge graphs), skills layers, control planes, and evaluation harnesses for AI agents.
Domain
Enterprise software, AI/LLM, Agentic workflows
Deliverable
production ML models | product features
Required skills
Distributed systems, cloud-native architectures, API and schema design, event-driven systems, security, observability, CI/CD, LLMs, RAG, agentic workflows, orchestration, tool use, function calling, evaluation, benchmarking, prompt engineering, ontology design, knowledge graphs, vector databases, enterprise platform integration
Preferred skills
MCP ecosystems, reusable AI platforms, containerized platforms, hyperscale cloud platforms, reverse-engineering, token-efficient agent design, enterprise software domains
Technologies
MCP, Docker, Kubernetes, Azure, AWS, GCP, Semantic Kernel, LangGraph, AutoGen, PydanticAI, OpenAI Agents SDK, CrewAI, Oracle PL/SQL, OData
Responsibilities
Design and build MCP servers over business objects; build write paths for safe agent data modification; build semantic layers and skills layers; build control planes for authentication and security; build evaluation harnesses; establish engineering practices; contribute to technical design and mentor colleagues; represent work in customer engagements and events.
Seniority
Senior, hands-on IC
