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Instructure is seeking an AI Platform Engineer to design and build core LLM-powered services and infrastructure that enable rapid development and deployment of AI-driven educational features. You will work on a platform team responsible for abstracting the complexity of LLM integration and providing scalable APIs and services to feature teams across the organization.
Key Responsibilities:
- Design and implement APIs and domain services that simplify LLM usage and enable rapid feature development
- Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing
- Create developer tooling and documentation to make integration with platform services intuitive and easy
- Establish best practices for AI and LLM use at Instructure, considering auditability, cost, and performance
- Collaborate with feature teams to understand their needs and translate them into platform capabilities
- Design, develop, and maintain scalable and performant REST or GraphQL APIs
- Write clean, maintainable, and well-documented code
- Participate in code reviews and provide constructive feedback
Your work will directly impact millions of learners by enabling teachers and students to benefit from smarter, faster, and more innovative educational technology. You'll be at the forefront of bringing AI into education, building foundational infrastructure that empowers other engineers across the organization.
Instructure offers competitive compensation with an ownership program for all full-time employees, flexible work culture, generous time off including an annual "Dim the Lights" recharge period in December, comprehensive wellness programs, learning and development resources, and a culture rooted in inclusivity and meaningful connection.
Onsite Collaboration Requirement: This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of the company's in-person collaboration model.
Requirements:
- 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 AWS
- Experience with Node.js or willingness to learn
- Experience with TypeScript or willingness to learn
- Background in developer tooling and API documentation is preferred
