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 and summer programs, from content to tooling.
- 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.