أبلاي إيدج ابدأ البحث عن عمل

Full Stack Engineer

Impala Search · London Area, United Kingdom

قدّم وتابع مع أبلاي إيدج
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 ResponsibilitiesTake ownership of full engineering work streams from discovery through to deployment and monitoringTranslate loosely defined product or operational requirements into scalable technical solutionsBuild and maintain backend services alongside modern frontend interfacesContribute to debugging, optimisation, testing, and production reliability across the stackWork closely with leadership and engineers to improve delivery velocity and engineering qualityProactively identify technical improvements, product opportunities, and scaling challengesSupport the evolution of internal engineering processes as the company continues rapid growthCollaborate within a highly autonomous environment where engineers are trusted to drive executionQualificationsCommercial experience building full-stack applications within startup or scale-up environmentsStrong backend development capabilities using Python based web frameworksFrontend development experience with modern JavaScript frameworks, ideally React or similarComfortable shipping production software in fast-moving, low-process teamsExperience working across cloud infrastructure and deployment environments is highly beneficialExposure to infrastructure tooling, monitoring, CI/CD, or production operations is advantageousFamiliarity with data-intensive systems, data pipelines, or AI-adjacent products is a strong plusDemonstrated passion for building through personal projects, GitHub contributions, or side workComfortable operating with ambiguity, ownership, and a high degree of autonomyIf 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.