Instructure Logo

Instructure

Senior AI Platform Engineer (remote)

Posted Yesterday
Be an Early Applicant
Remote
Senior level
Remote
Senior level
As a Senior AI Platform Engineer, you will design and implement APIs and services for LLM-powered online learning tools, build scalable AWS infrastructure, create developer documentation, establish best practices, and collaborate with product teams to enhance the educational experience for users worldwide.
The summary above was generated by AI

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.

Get in on all the awesomeness at Instructure:

  • Competitive salary, equity and 401k
  • Medical, dental, disability, and life insurance
  • HSA program, vision, voluntary life, and AD&D
  • Tuition reimbursement
  • Paid time off, 11 paid holidays, and flexible work schedules
  • LifeStyle Spending Account

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.

Top Skills

AWS
GraphQL
Node.js
Rest
Typescript

Similar Jobs

14 Days Ago
Remote
USA
Senior level
Senior level
Software
The Edge AI Systems Engineer will develop, train, optimize, and deploy AI/ML models on Edge AI devices. Responsibilities include optimizing AI solutions for microcontrollers, performing model compression, and collaborating with various teams to ensure the effective deployment of scalable AI models.
Mid level
Artificial Intelligence • Machine Learning • Software
As an AI Application Engineer, you will lead the deployment of AI solutions, manage project documentation, and ensure customer success through technical support. Your role involves engaging with various industries and solving operational challenges using computer vision technology.
Top Skills: AIComputer VisionCustomer SuccessDocumentationProject ManagementRoboticsTechnical Deployment
2 Hours From Now
Remote
Hybrid
8 Locations
Senior level
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Senior Staff Engineer will define the architectural vision for web applications, lead technical decision-making, mentor engineers, and modernize the front-end stack. They will focus on web performance, accessibility, and overall code quality for complex applications within a collaborative environment.

What you need to know about the Bengaluru Tech Scene

Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account