New Staff AI Architect

What You'll Do:

1) Architect the inference pipeline for LLMs, choose models and hosting strategies, and build serving infrastructure with a focus on latency, cost, and scale.

2) Build evaluation loops to measure real product improvement, own the cost model to maintain unit economics, and define data architecture for LLM consumption.

3) Set standards for safety, privacy, and trust, implementing filtering, encryption, access controls, and audit trails.

What We're Looking For:

1) Deep engineering experience with AI systems in production, fluency in modern LLM serving, and a mindset focused on evaluation and real progress.

2) Strong cloud engineering skills to build reliable systems, strong opinions on cost control, and an AI-native daily workflow using advanced tools.

3) Comfort with ambiguity and incomplete information, excellent written communication, and experience with agent systems, retrieval pipelines, or privacy architecture in multi-user contexts.