Our client is building one of the missing layers powering the next generation of AI, creating licensed, human-generated training data used across multimodal systems spanning audio, speech, video, and structured content. Backed by a leading London accelerator, they’re tackling one of the biggest challenges in AI today: high-quality, rights-cleared data infrastructure for enterprise-scale deployment. You’ll join as a Mid-Level Fullstack Software Engineer , helping scale AI data infrastructure used in high-growth enterprise environments while working across Python , React , cloud infrastructure , and distributed systems .
Take ownership of full engineering work streams from discovery through to deployment and monitoring Build and maintain backend services alongside modern frontend interfaces Contribute to debugging, optimisation, testing, and production reliability across the stack Work closely with leadership and engineers to improve delivery velocity and engineering quality Commercial experience building full-stack applications within startup or scale-up environments Strong backend development capabilities using Python based web frameworks Frontend development experience with modern JavaScript frameworks, ideally React or similar Comfortable shipping production software in fast-moving, low-process teams Experience working across cloud infrastructure and deployment environments is highly beneficial Exposure to infrastructure tooling, monitoring, CI/CD , or production operations is advantageous Familiarity with data-intensive systems, data pipelines, or AI-adjacent products is a strong plus Demonstrated passion for building through personal projects, GitHub contributions, or side work If you’re excited by the idea of helping build the infrastructure layer behind enterprise AI, solving complex data engineering challenges at scale while owning projects end-to-end in a high-growth engineering team, we’d love to hear from you….