Applied AI Engineer
Core
Build and curate ontology, knowledge graphs, and grounding infrastructure to enable AI agents to understand IFS software and reason accurately over customer data.
Role type
Senior IC Applied AI Engineer (Knowledge Graphs & Agentic Systems)
Builds
Semantic layers, MCP servers, retrieval/grounding infrastructure, and evaluation harnesses for enterprise AI agents.
Domain
Enterprise Software / AI Engineering / Knowledge Graphs
Deliverable
production ML models
Required skills
Distributed systems, Cloud-native architectures, LLMs, RAG, Agentic workflows, Knowledge graphs, Ontology design, Vector databases, Evaluation frameworks
Preferred skills
MCP servers, Agent frameworks (Semantic Kernel, LangGraph, AutoGen), Containerization (Docker, Kubernetes), Hyperscale cloud platforms (Azure, AWS, GCP)
Technologies
RDF/OWL/SKOS, Vector databases, Docker, Kubernetes, Azure, AWS, GCP, MCP (Model Context Protocol)
Responsibilities
Design and build MCP servers for product business objects; Build the write path for safe agent data modification; Design the semantic layer (ontology and knowledge graph); Build retrieval and grounding infrastructure; Establish data quality and versioning practices; Build the skills layer and control plane; Build evaluation harnesses; Establish engineering practices (testing, observability, security); Contribute to technical design and mentor colleagues; Represent the work in customer engagements and events.
Seniority
Senior, hands-on IC
