About this opportunity
Airo Digital Labs, LLC lists this Senior AI Engineer opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.