Senior Full Stack Engineer Python React

Want to help shape the future of AI infrastructure for data-rich industries like finance, healthcare, and advertising? I'm hiring for a Fullstack Engineer to join a cutting-edge AI startup that's developing the most advanced Large Tabular Model in the world.

You'll work with a world-class team of AI researchers (ex-DeepMind, INRIA, École Polytechnique) to build the systems and interfaces that enable customers to seamlessly interact with powerful machine learning models at scale.

• Highly competitive salary + meaningful equity package

• 100% remote within Europe

• Work alongside leading AI researchers and engineers

• Be part of the founding engineering team of a high-growth, well-funded startup

• Solve complex problems at the intersection of ML, backend, and UI engineering

• Build scalable backend services and APIs for model inference and large-scale data processing

• Develop modern, responsive frontends for model interaction, configuration, and monitoring (React, Vue, or Angular)

• Implement state management and session persistence to deliver consistent user experiences

• Design event-driven architectures with pub/sub patterns for asynchronous processing

• Integrate with third-party data sources like Snowflake and Databricks

• Create robust error handling, monitoring, and retry systems for high availability

• Collaborate with MLOps and DevOps teams to optimise architecture and deployment pipelines

• 5+ years in backend or fullstack engineering roles

• Strong Python skills, ideally with FastAPI and the ASGI ecosystem

• Experience with modern frontend frameworks (React, Vue, Angular)

• Proficiency in event-driven architectures and distributed task queues (e.g., Celery)

• Understanding of large-scale model serving workflows (REST, gRPC, async batching)

• Strong knowledge of SQL/NoSQL databases and cloud data platforms

• Ability to deliver clean, maintainable frontend code and collaborate closely with product/design teams

• Kubernetes experience for deploying scalable ML services

• Data visualisation skills for presenting model outputs

• Knowledge of authentication/security best practices

• Experience with monitoring and observability tools for distributed systems

Interested? If you want to join a world-class AI team at an early stage-where your work will directly shape the future of enterprise-scale machine learning-apply today or get in touch for a confidential chat.