Senior Applied AI Engineer, Retrieval and Semantic Systems

Job description

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

Our team builds AI-native capabilities, reusable AI systems, and shared infrastructure that power multiple products and workflows across the platform.

We are looking for a Senior Applied AI Engineer to own retrieval and semantic systems end to end. This role builds and operates production retrieval as a core capability, including the retrieval infrastructure layer (indexing, storage, scaling, cost, and reliability), quality evaluation, and iteration loops that improve relevance over time. You will partner with platform engineers on deployment standards and observability, but you will own retrieval architecture decisions and day-to-day operation.

You will work closely with product, engineering, and research partners to turn advanced AI ideas into reliable product capabilities used at scale.

What You’ll Do

• Design, build, and ship production retrieval systems that power AI product capabilities

• Own vector store selection and operation, including scalability, latency, reliability, cost, and multi-tenant design

  This is an excerpt. Read the full job description on Instructure careers →