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AI Platform Engineer
Instructure. Design and implement APIs and domain services abstracting LLM complexity .
Posted 10/7/2026full-timeBudapest • HungaryMid-LevelSenior💰 HUF 1,800,000 - HUF 2,100,000 per monthWebsite
Tech Stack
Tools & technologiesAWSCloudGraphQLJavaScriptNode.jsTypeScript
About the role
Key responsibilities & impact- Design and implement APIs and domain services abstracting LLM complexity
- Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing
- Create developer tooling and documentation for intuitive service integration
- Establish AI and LLM best practices considering auditability, cost, and performance
- Collaborate with feature teams to address needs through platform capabilities
- Design, develop, and maintain scalable, performant APIs
- Write clean, maintainable, well-documented code
- Participate in code reviews and provide and receive constructive feedback
- Build platform services powering AI-driven features across Canvas and other educational products
Requirements
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, and rate limiting
- Understanding of LLM integration and usage patterns
- Past experience with cloud infrastructure, preferably AWS
- Experience with Node.js or a desire to learn
- Experience with TypeScript or a desire to learn
- Strong written and verbal communication skills
- Background in developer tooling and API documentation preferred
- Must work onsite Tuesday and Wednesday; Thursday strongly encouraged
- Written and verbal fluency in English
- Must pass a background check
- Must provide identity verification as required
- Must be authorized to work in Hungary or obtain the necessary authorization
Benefits
Comp & perks- Competitive compensation
- Full-time employee ownership program
- Flexible work culture
- Generous time off, including local holidays and annual “Dim the Lights” period
- Comprehensive wellness programs and mental health support
- Learning and development resources
- Professional development tools and tuition reimbursement
- Technology and tools needed to do your best work
- Motivosity employee recognition program
- Inclusive, supportive culture
- Mentorship, hack weeks, and internal conferences