IT & Software

Software Engineer, Enterprise

Scale AI

London · Greater London · United Kingdom

Overview

In this role you design and build scalable backend services and full-stack features for AI-powered applications on Scale’s GenAI Platform. You connect AI research with production, turning prototypes into enterprise-ready solutions that enable customers to build, deploy, and manage AI agents. You will work closely with ML, design, and product teams to deliver high-performance, observable systems at production scale. This is a chance to shape AI-driven products used by millions while advancing core AI infrastructure for large enterprises.

Pay / Benefits
  • inclusive and equal opportunity workplace
  • reasonable accommodations upon request
  • accommodations for applicants with disabilities
Responsibilities
  • Design, build, and optimize backend services for AI-driven apps, focusing on agents, evaluation tooling, and automation
  • Develop features for Scale’s GenAI Platform to enable building, deploying, and managing AI agents with robust backend support
  • Implement scalable APIs and services in Python (e.g., FastAPI) for real-time AI applications and large-scale data processing
  • Build and maintain full-stack web apps using Next.js, React, TypeScript, and Tailwind
  • Integrate AI models and evaluation systems with ML teams to improve agent reasoning, response quality, and decision-making
  • Manage and optimize cloud infrastructure for high availability, performance, and security in AWS, Azure, or GCP
  • Ship features rapidly with high code quality, observability, and performance across backend systems
Key requirements
  • 5+ years of backend or full-stack experience with emphasis on backend engineering
  • Strong proficiency in Python and frameworks like FastAPI or Flask
  • Familiarity with frontend tech (Next.js, React, TypeScript, Tailwind) for polished UIs
  • Experience balancing speed and quality in fast-paced environments
  • Passion for AI and experience with AI-first apps, agent-based systems, or data-rich web platforms
  • Strong cloud experience (AWS, Azure, GCP); containerized deployments (Docker, Kubernetes) and cloud services (Lambda, S3, DynamoDB)
  • Track record of cross-functional collaboration with design, product, and ML teams to deliver AI-powered apps
  • Cross-functional collaboration
  • Ability to balance speed and quality
  • Problem-solving mindset
  • Python
  • FastAPI
  • Flask

Reference: WJ-747_30168549

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