We are looking for a Fullstack Software Engineer to join our team and help build robust,
scalable systems that bring our state-of-the-art generative AI systems to the wider audience.
This fullstack role has a strong backend emphasis, requiring deep experience in server-side
architecture, API design, distributed systems, and frontend frameworks, along with a solid
engineering mindset and the ability to work cross-functionally with ML engineers, product,
research, and creative teams. As a member of our fullstack engineering team, you’ll shape
core infrastructure, set best practices, communicate with stakeholders and mentor your
peers.
Key Responsibilities
- Design and implement scalable backend architectures for AI-powered creative tools
and workflows.
- Build high-performance APIs and microservices that handle generative AI
inference/training and video/audio processing.
- Design and implement user interfaces that make complex generative AI capabilities intuitive and accessible.
- Develop robust data pipelines for ingesting, processing,
and storing large-scale media content.
- Design and maintain database schemas, caching layers, and data storage solutions for multimedia content.
- Build authentication, authorisation, and security systems for enterprise-grade applications.
- Optimise backend performance for low-latency AI inference and high-throughput media processing.
- Integrate backend systems with ML training and inference pipelines.
- Implement monitoring, logging, and alerting systems for production backend services.
- Collaborate with ML engineers to optimise model serving and deployment infrastructure.
Must Haves
- 5+ years of experience in fullstack software development.
- Strong expertise in server-side programming languages (we use Python).
- Proven experience designing and implementing RESTful APIs and microservices
- architectures.
- Proficiency in contemporary JavaScript/TypeScript and at least one major frontend
- framework (React, Vue.js, or A