Instructure Hungary Ltd

Budapest , Balatoni út 2/a

1.5M – 2.2M HUF alkalmazotti havi bruttó

Elvárások

• AWS
• Full-stack development
• Docker
• Amazon Web Services
• Kubernetes
• Node.js
• AI
• LLM
• Angol (C1)

A mi követelményeink

Eredeti szöveg. Fordítás megjelenítése

• Demonstrate a love of solutions over technology
• Be comfortable in multiple technology stacks and programming languages, with the ability to move quickly between them
• Bring startup-style enthusiasm for solving problems regardless of role
• Communicate research results effectively in English
• Have a passion for improving education technology globally
• Understand and ideally have hands-on experience with large language models (LLMs), embeddings, and related AI technologies
• Own complex features and drive technical decisions
• Build and deploy systems at scale
• Collaborate effectively across cross-functional teams
• Be passionate about innovation and comfortable with uncertainty and rapidly changing landscapes
• Experience with educational technology is a plus

Pozíció / projekt rövid leírása

Eredeti szöveg. Fordítás megjelenítése

At Instructure, we empower people to grow and succeed by creating intuitive products that simplify learning, facilitate meaningful relationships, and inspire innovation. We are revolutionizing education by integrating cutting-edge AI capabilities into Canvas LMS and our other products, creating more personalized and effective learning for millions of students and teachers around the world.

We’re looking for Software Engineers to join our AI Innovation team, where they will build the future of education by developing intelligent, LLM-powered features in our products. This team will work on innovative projects that use AI to save teachers time and improve student outcomes, all while maintaining our commitment to security, privacy, and ethical use of AI.

Why Join Us?

• At Instructure, we’re on a mission to help educators and students learn together – anytime, anywhere, and however works best. You’ll join our advanced development team, a research-driven group tackling education’s biggest challenges with cutting-edge technology. Our projects have included making sense of unstructured feedback, applying large language models to save teachers’ time and improve student experiences, classifying partner networks for smarter recommendations, and detecting fraud to protect resources for real learners.
• We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you’ll have the chance to build the next generation of LMS features that make a real impact on students and teachers—and to do it in a collaborative, supportive environment that encourages experimentation and growth.

Napi feladatok

Eredeti szöveg. Fordítás megjelenítése

1. Work across multiple codebases and technologies to integrate AI features across Canvas LMS and our other products;
2. Collaborate with existing product, design, and engineering teams to define, design, and implement AI and ML features that solve real problems;
3. Own feature development from conception to release, including architecture, implementation, and scale;
4. Establish organization best practices for LLM use including prompt guidelines, context management, cost policy, and responsible AI use;
5. Participate in rapid prototyping and experimentation to discover novel applications of AI in education;
6. Contribute to technical design and code reviews to shape our AI roadmap and strategy.

Specifikációk

• Online állásinterjú
• Toborzás nyelvei: magyar&angol
• Azonnali kezdés
• Rugalmas távmunka
• Rugalmas munkaidő

A toborzási folyamat lépései

1. recruiter screen
2. coding interview
3. system design
4. managerial round

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

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