Senior AI Engineer (Hybrid)
Core
Design, build, and operate machine learning models, large language model (LLM) services, and agentic systems for learner-facing products and internal business workflows.
Role type
Senior individual contributor AI Engineer (LLM & Agentic Systems)
Builds
Production ML models, LLM services, and agentic workflows
Domain
Education technology / Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, MLOps, CI/CD, container orchestration, infrastructure-as-code, Azure, NoSQL/document databases, vector search, SQL, prompt engineering, agent framework design (via careerplan.io/jobs/JR259121-senior-ai-engineer-hybrid-at-ghc)
Preferred skills
Google Vertex AI, Model Context Protocol (MCP), Agent2Agent (A2A), C#, .NET, xAPI, LTI, LMS plug-ins
Technologies
Microsoft Agent Framework, LangGraph, Azure Cosmos DB, Azure AI Search, Azure
Responsibilities
Architect agentic workflows with tool use and multi-agent orchestration; lead algorithm and framework selection for retrieval and grounding; build and maintain evaluation tooling and observability; mentor AI Engineers and review code; collaborate with product and data science teams to translate requirements into technical direction.
Seniority
Senior, hands-on IC with technical leadership
