AI Solutions Architect
Design and build the AI layer that powers our matching engine and our training programs. You'll work directly with LLMs, embeddings, retrieval systems, and agent frameworks, and you'll also be the person who explains what's actually practical and what's hype. This role sits close to product and far from slideware.
- Build production LLM applications: RAG pipelines, agent workflows, and evaluation harnesses that actually catch regressions.
- Own the AI-assisted curriculum for the Fellowship, from module content to the tooling Fellows build with.
- Partner with the engineering team to ship AI features into our hiring platform.
- Required: 4+ years building ML or AI systems, strong Python, and hands-on experience with LLMs (OpenAI, Anthropic, or open-source).
- Bonus: experience with evals, embeddings at scale, or teaching technical material.