Instructure Hungary Ltd
Budapest, Balatoni út 2/a
1.5M – 2.2M HUF alkalmazotti havi bruttó
Elvárások
- AWS
- LLM
- AI
- API
- REST API
- GraphQL
- Security
- Cloud
- Node.js
- TypeScript
- API documentation
- Angol (C1)
A mi követelményeink
Eredeti szöveg. Fordítás megjelenítése
- 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.
Pozíció / projekt rövid leírása
Eredeti szöveg. Fordítás megjelenítése
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.
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.
Napi feladatok
Eredeti szöveg. Fordítás megjelenítése
- 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.
mutass kevesebbet
Specifikációk
- Online állásinterjú
- Toborzás nyelvei: magyar&angol
- Azonnali kezdés
- Rugalmas távmunka
- Rugalmas munkaidő
Biztosított eszközök
- Apple
- Monitorok: Egy
Irodán belüli juttatások
- Ingyenes kávé
- Kerékpártároló
- Szórakozási zóna
- Zuhanyzó
- Ingyenes snack
- Ingyenes italok
- Ingyenes parkolás
- Belső képzések
- Belső hack napok
- Modern iroda
- Startup hangulat
- Nincs dress code
- Ingyenes reggeli
- Hack-weeks
- Employee assistance program
Extrák
- Nemzetközi projektek
- Kis létszámú csapat
- Lapos szervezet
