Senior AI Platform Engineer (remote)

Instructure, Inc.; Canada; Remote; CAD 80,000 - 100,000; Full time

Job summary

An innovative firm is seeking AI Platform Engineers to architect and implement core LLM-powered services. This role involves designing APIs, building scalable AWS infrastructure, and collaborating with product teams to enhance the educational experience for millions. Join a culture that fosters mentorship and innovation, where your contributions will lay the groundwork for AI in education. If you are passionate about technology and want to make a meaningful impact, this opportunity is perfect for you.

Qualifications

• Prior experience in software engineering with a focus on API design.
• Strong backend services development and familiarity with LLM integration.

Responsibilities

• Design and implement APIs and domain services for LLM interactions.
• Build scalable AWS infrastructure and establish best practices for AI use.

Skills

API design

Distributed system development

Backend services

REST APIs

GraphQL APIs

Collaboration skills

Communication skills

LLM integration

Cloud infrastructure (AWS)

Node.js

TypeScript

Job description

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
• Experience with Node.js or a desire to learn
• Experience with TypeScript or a desire to learn
• 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.

We’ve always believed in hiring the most awesome people and treating them right. We know that the more diverse we are, the more diverse our ideas will be and when we openly welcome those ideas, our environment is better and our business is stronger.

All Instructure employees are required to successfully pass a background check upon being hired.