Harrison Clarke are partnered with an early-stage startup building ground truth infrastructure for AI agents - creating the data, evaluation, and runtime systems that allow LLM-powered agents to behave reliably in real-world environments.
As an AI / Infrastructure Engineer focused on LLM systems, you will help design and operate the production backbone for deploying and scaling large language models. This includes building low-latency inference systems, GPU-optimised serving infrastructure, and the evaluation pipelines that ensure model outputs remain accurate, consistent, and grounded.
Key Responsibilities:
Qualifications:
If this sounds like something of interest, please apply below or alternatively reach out to me at reece@harrisonclarke.com