Job Description

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 modern JavaScript/TypeScript and at least one major frontend
• framework (React, Vue.js, or Angular).
• Deep understanding of database design, optimisation, and management
• (PostgreSQL, Neo4j, Redis).
• Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code
• (Terraform).
• Proficiency with containerisation and orchestration technologies (Docker,
• Kubernetes).
• Strong knowledge of distributed systems, message queues, and event-driven
• architectures.
• Experience with high-performance computing, parallel processing, and optimisation
• techniques.
• Familiarity with CI/CD pipelines, automated testing, and DevOps practices.
• Understanding of system design principles, scalability, and performance optimisation.
• Experience with caching strategies, load balancing, and CDN implementation.
• Experience with CSS frameworks and responsive design.
• Strong problem-solving skills and attention to detail.

Nice to Have

• Experience with ML and/or computer vision frameworks like PyTorch, Numpy or
• OpenCV.
• Knowledge of ML model serving infrastructure (TensorFlow Serving, TorchServe,
• MLflow).
• Knowledge of WebGL, Canvas API, or other graphics programming technologies.
• Familiarity with big data technologies (Kafka, Spark, Hadoop) and data engineering
• practices.
• Background in computer graphics, media processing, or VFX pipeline development.
• Experience with performance profiling, system monitoring, and observability tools.
• Understanding of network protocols, security best practices, and compliance
• requirements.
• Open-source contributions or technical writing experience.
• Entrepreneurial mindset or experience working with startups or fast-paced teams.