Senior AI Engineer
Core
Building production-grade agentic content workflows for English Language Learning using AI agent architectures to generate and validate educational content at scale.
Role type
Senior AI Engineer (LLM Orchestration & Production)
Builds
Conversation Brain (LLM-driven conversation engine) and Ambient ORA (speech assessment engine) for multiple Pearson products.
Domain
EdTech / English Language Learning / Generative AI
Deliverable
production ML models | product features
Required skills
Python (FastAPI), LLM frameworks (CrewAI, LangGraph, LangChain), Prompt Engineering, LLM Evaluation, Azure Cloud Services, CI/CD, Docker, LLM Observability (Langfuse, OpenLit, New Relic)
Preferred skills
Go, Kubernetes, ML/NLP tooling (PyTorch, Hugging Face, spaCy, scikit-learn)
Technologies
Python, FastAPI, CrewAI, LangGraph, LangChain, Azure (Container Apps, Service Bus, Blob Storage), AWS, Docker, Kubernetes, Langfuse, OpenLit, New Relic, PyTorch, Hugging Face Transformers, spaCy, scikit-learn
Responsibilities
Design and optimize AI-driven content generation workflows; Build and maintain agentic workflows; Ensure code quality through unit and integration tests; Operationalize AI models in collaboration with R&D; Implement LLM observability and evaluation; Design and run LLM evaluation benchmarks; Integrate and manage resources across Azure and AWS; Ensure robust CI/CD pipelines; Package, deploy, and scale applications using Docker.
Seniority
Senior, hands-on IC