Software Engineer, Enterprise

Scale AI
London
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 4+ yearsSkills: ["Python","TypeScript","FastAPI","Flask","Express","NestJS","Kubernetes","Docker","Terraform","PostgreSQL","DynamoDB","GenAI","CI/CD","Observability","Security"]

Backend Engineer at Scale AI will design, build, and scale the core infrastructure powering enterprise GenAI platforms. You’ll develop APIs, distributed data systems, and deployment pipelines across multi-cloud environments, collaborating with ML and product teams to productionize models. This role focuses on reliability, performance, and security in large-scale AI deployments for global enterprise customers.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Scale AI
Scale AI
1 year ago

Software Engineer, Enterprise

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 28 minutes agoStatus: Live

Job Summary

Backend Engineer at Scale AI will design, build, and scale the core infrastructure powering enterprise GenAI platforms. You’ll develop APIs, distributed data systems, and deployment pipelines across multi-cloud environments, collaborating with ML and product teams to productionize models. This role focuses on reliability, performance, and security in large-scale AI deployments for global enterprise customers.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
  • •Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
  • •Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
  • •Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
  • •Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.

Key Requirements

  • •4+ years of experience developing large-scale backend or infrastructure systems with distributed services, reliability, and scalability
  • •Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS
  • •Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform
  • •Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications
  • •Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production
Experience:4+ yearsGenAIEnterprise
Skills:PythonTypeScriptFastAPIFlaskExpressNestJSKubernetesDockerTerraformPostgreSQLDynamoDBGenAICI/CDObservabilitySecurity
Languages:English
Tech Stack:PythonTypeScriptFastAPIFlaskExpressNestJSAWSAzureGCPKubernetesDockerTerraformPostgreSQLDynamoDBGenAICI/CDObservabilitySecurity

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn