Responsibilities

• Build bespoke software, APIs, data pipelines, and platform components that bring AI capabilities to life.
• Collaborate closely with data scientists, product teams, and sometimes end-users to integrate AI systems into real-world applications.
• Shape the integration of new models, debug system bottlenecks, and help internal teams and customers maximize value from model outputs.

Requirements

• Proven experience designing and building robust backend systems using:
  • Node.js
  • Python
  • MongoDB
  • PostgreSQL
  • Redis
  • RabbitMQ
  • Kafka
• Demonstrated ability to scale production systems in cloud-native environments, with familiarity in:
  • Kubernetes
  • NGINX
  • Container orchestration
• Experience building and maintaining real-time applications, including working with WebSockets and event-driven architectures.
• Understanding of full-stack problem-solving from API development to frontend UIs and infrastructure-as-code.
• Experience with real-world systems that expose or depend on ML models, including deployment or inference tooling (e.g., model serving, feature stores).
• Strong software engineering fundamentals, with deep knowledge of algorithms, data structures, and system design.

Nice to Have

• Experience building tools or interfaces for internal teams (e.g., dashboards, annotation tools, developer APIs).
• Experience with JavaScript/TypeScript and developing user-facing features using React.

Work Environment

• Flexible working with a central London location.
• Highly skilled team with a flat hierarchy and opportunities for mentorship.
• Ability to heavily influence platform and culture in a scaling company.
• Budget/time for books, training, and attending conferences/hackathons.
• Opportunity to work with cutting-edge AI technologies and unique datasets.
• Regular knowledge sharing sessions and internal tech talks.

Company Benefits

• Flexible Working
• Pension
• Hybrid working - home/office
• Share Options Scheme
• Private Healthcare