Full Stack Engineer

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.

Key Responsibilities

• Take ownership of full engineering work streams from discovery through to deployment and monitoring
• Translate loosely defined product or operational requirements into scalable technical solutions
• 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
• Proactively identify technical improvements, product opportunities, and scaling challenges
• Support the evolution of internal engineering processes as the company continues rapid growth
• Collaborate within a highly autonomous environment where engineers are trusted to drive execution

Qualifications

• 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
• Comfortable operating with ambiguity, ownership, and a high degree of autonomy

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.