Backend Engineer
Backend Engineer
Posted on :
06-08-2025
Employer Active
1 Vacancy
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Job Description
About the Team
OurAI Platform team drives the success and innovation of Miros AI-powered product vision. We are responsible for building the internal platform tooling and APIs that enable Miros product teams to seamlessly integrate and scale AI use mission is to establish a robust and flexible technical foundation for AI innovation enabling internal teams to move faster build responsibly and deliver world-class AI features to our users.
About the Role
As aBackend Engineer in our AI Platform team youll play a crucial role in building and scaling the core that powers AI across Miro. You will help lay the technical foundation for how Miro builds deploys and serves AI/ML capabilitiessupporting tens of millions of users as we evolve into an increasingly intelligent work on internal tools that empower teams to experiment with and ship AI features quickly and responsibly and data pipelines for AI use cases. This is an exciting opportunity to shape how AI is built and adopted across the company.
What youll do
- Design develop and maintain backend services that support model training inference and experimentation
- Develop tooling that improves reliability reproducibility and speed of AI development and deployment across Miro
- Contribute to system architecture and infrastructure choices with a focus on scalability performance and maintainability
- Build scalable and efficient data pipelines to power AI insights and quality improvements
- Help shape and drive technical strategy for Miros AI platform
- Maintain high code quality through testing code reviews and automation
What youll need
- 4 years of backend engineering experience
- Strong experience with Python Java or Kotlin in production environments
- Experience designing and maintaining scalable services
- Familiarity with modern AI providers (AWS Bedrock Open AI Anthropic etc)
- Proficiency in modern development practices (CI/CD observability test automation)
- A passion for building tooling that accelerates innovation
- Strong ownership mindset and collaborative approach to problem-solving
- Experience with ML Ops
- Experience working in a product-led company or supporting AI in end-user features
- Understanding of AI/ML concepts such as model training validation and evaluation metrics
Whats in it for you
- Competitive equity package
- Health insurance for you and your family
- Corporate pension plan
- Lunch snacks and drinks provided in the office
- Wellbeing benefit and WFH equipment allowance
- Annual learning and development allowance to grow your skills and career
- Opportunity to work for a globally diverse team
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Employment Type
Full Time
Key Skills
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