Senior AI Engineer

The technical owner of the Core Intelligence layer — the platform’s differentiator. You design and build the Signal Engine, Action Engine, Librarian Agent and Ontology Graph, turning signals into coordinated, agent-driven action. Key Responsibilities Design and implement agentic workflows with LangGraph and Azure AI Foundry that power the Signal and Action Engines. Build the Librarian Agent — retrieval-augmented reasoning over the Ontology Graph and Graph Database. Model and evolve the Ontology Graph; implement graph and vector retrieval strategies. Integrate agents with tools and other services via MCP / A2A and webhooks. Establish evaluation, guardrails, observability and cost controls for LLM/agent behavior in production. Partner with the Data Engineer on the data and features that feed the intelligence layer. Must-have Skills & Technologies Strong Python and production ML/AI engineering. Agentic frameworks — LangGraph (or LangChain, LlamaIndex, Semantic Kernel) — and LLM orchestration patterns. Azure AI Foundry or equivalent (Azure OpenAI, Bedrock, Vertex) model deployment and management. RAG, embeddings, vector search, and graph-based retrieval; hands-on with a Graph Database (Neo4j, Cosmos DB Gremlin or similar). Prompt engineering, structured output / tool-calling, and LLM evaluation frameworks. Prior Experience 5+ years in ML/AI engineering, including production LLM or agent systems (not only notebooks/POCs). Experience taking an agentic or RAG system from prototype to reliable, monitored production. Nice to Have Ontology / knowledge-graph modelling; MCP / A2A protocol experience. MLOps / LLMOps: eval harnesses, prompt versioning, drift and cost monitoring. #J-18808-Ljbffr AiRo Digital Labs