GenAI Backend Engineer for Enterprise Scale

Scale AI, Inc.; Greater London; Híbrido; GBP 105.000 - 142.000; Jornada completa

Descripción de la vacante

Scale AI, Inc. is seeking a Backend Engineer to build the core infrastructure for GenAI systems at enterprise scale.

You will design scalable APIs, distributed data pipelines, and deployment tooling to ensure production-grade reliability and performance across multi-cloud environments. Join a team at the forefront of enterprise AI, collaborating with ML, infra, and product colleagues to deploy models, optimize latency, and deliver robust backend services that scale with customer demand and

Formación

• Requires 4+ years of experience building large-scale backend or infrastructure systems.
• Proficient in Python or TypeScript and building high-performance APIs.
• Strong cloud knowledge (AWS/Azure) with container orchestration and Terraform.

Responsabilidades

• Design, build, and scale backend systems powering enterprise GenAI products.
• Develop core services and APIs that securely integrate AI models and data sources.
• Architect scalable distributed data processing, inference, and orchestration for GenAI workloads.
• Optimize backend performance for latency, throughput, and cost in hybrid/multi-cloud setups.
• Manage and evolve cloud infrastructure (AWS, Azure, or GCP) with automation and security.
• Collaborate with ML and product teams to productionize GenAI models and tooling.
• Continuously improve reliability and scalability with robust engineering practices.

Conocimientos

Distributed services

Python

TypeScript

APIs

Cloud infrastructure

Kubernetes

Terraform

PostgreSQL

NoSQL

GenAI apps

CI/CD

Observability

Security

FastAPI

Flask

Express

NestJS

Herramientas

FastAPI

Flask

Express

NestJS

Kubernetes

Docker

Descripción del empleo

Scale AI, Inc. is seeking a Backend Engineer to build the core infrastructure for GenAI systems at enterprise scale.

You will design scalable APIs, distributed data pipelines, and deployment tooling to ensure production-grade reliability and performance across multi-cloud environments. Join a team at the forefront of enterprise AI, collaborating with ML, infra, and product colleagues to deploy models, optimize latency, and deliver robust backend services that scale with customer demand and