Top Tech Jobs & Startup Jobs

The AI Scientist will develop frameworks to evaluate and audit Reinforcement Learning systems, ensuring safety and performance while leveraging advanced ML techniques.

Build and maintain scalable backend services, Kubernetes orchestration, CI/CD and IaC, responsive React/TypeScript UIs, and security/compliance practices. Own lifecycle from design to production, collaborate with AI teams, and improve platform reliability and observability.

As the Senior Expert/VP for Reinforcement Learning, lead the development of AI testing frameworks and validate RL systems in complex environments.

Lead technical pre-sales for computer vision and AI, design testing solutions, scope customer requirements, and maintain client relationships.

Build and maintain backend services, scalable APIs, Kubernetes orchestration, and CI/CD infrastructure for an AI assurance platform. Implement security practices, deploy production systems, develop responsive React/TypeScript UIs, and collaborate with AI Engineers to translate evaluation requirements into robust, maintainable production code. Own full lifecycle from design to monitoring and mentor other engineers.

Lead customer discovery and design of custom AI testing (TEVV) solutions for GenAI and computer vision applications. Define architectures, prioritize features, guide engineering teams, manage delivery in high-security environments, and advise on AI testing tools and risk mitigation for defence and public safety clients.

The role involves building, deploying, and maintaining AI models, designing evaluation methodologies, and integrating AI into products. It requires strong implementation focus in various AI domains.

As a Senior Software Engineer, you will architect and build backend services, manage full lifecycle components, and develop UI with React/TypeScript while ensuring security and operational reliability in our AI platform.