Build scalable fullstack systems for generative AI applications, with a strong backend focus. Responsibilities include designing APIs, microservices, data pipelines, databases, caching, security, monitoring, and low-latency inference infrastructure. Develop intuitive frontend interfaces, integrate ML training and serving pipelines, optimize high-throughput media processing, and collaborate cross-functionally with ML, product, research, and creative teams. The role also involves setting engineering standards, communicating with stakeholders, and mentoring peers.
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.
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.
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