At Instructure, we empower teachers and learners to grow and succeed by creating intuitive products that simplify learning, facilitate meaningful relationships, and inspire innovation.
We are looking for AI Platform Engineers to build and maintain core LLM-powered services and APIs to power the next generation of online learning tools. On this team, you’ll architect and implement services and infrastructure that will allow our feature teams to rapidly develop and deploy LLM-powered features that improve the teaching and learning experience of tens of millions of people around the world while maintaining our high standards for performance, security, and reliability.
What you'll do:
Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from our product teams
Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing
Create developer tooling and documentation that makes integration with your services intuitive and easy
Establish best practices for AI and LLM use at Instructure, considering things like auditability, cost, and performance
Collaborate with feature teams to understand their needs and solve them with platform capabilities
Design, develop, and maintain scalable and performant APIs
Write clean, maintainable, and well-documented code
Participate in code reviews and provide constructive feedback to other developers
What you'll need:
Prior software engineering experience with API design and distributed system development
Strong experience building backend services and REST or GraphQL APIs
Knowledge of API design best practices around security, performance monitoring, rate limiting, and more
Understanding of LLM integration and usage patterns
Strong collaboration and written and verbal communication skills;
Past experience with cloud infrastructure, preferably on AWS
Background in developer tooling and API documentation is preferred
Why join us:
At Instructure, you’ll lay the foundation for the use of AI in education and make a difference in the lives of millions of learners. We invest in our employees’ learning with thoughtful mentorship, hack weeks, internal conferences, and a culture where innovation and ownership thrive.