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Software Engineer, Enterprise (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, Enterprise (AI): Building scalable backend infrastructure, APIs, distributed data systems, and deployment pipelines for production-grade enterprise GenAI products with an accent on reliability, performance, security, and multi-cloud deployment. Focus on designing AI model integration services, optimizing latency and throughput, managing cloud infrastructure, and scaling inference and orchestration systems across enterprise environments.

Location: London, UK

Company

Scale AI develops reliable AI systems, high-quality data, and full-stack technologies that help enterprises and governments build, deploy, and oversee AI applications.

What you will do

  • Design, build, and scale backend systems powering enterprise GenAI products across Scale's and customers' infrastructure.
  • Develop secure, efficient services and APIs integrating AI models with enterprise data sources.
  • Architect distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
  • Optimize latency, throughput, cost, reliability, and scalability across hybrid and multi-cloud environments.
  • Manage AWS, Azure, or GCP infrastructure, including automation, observability, security, and deployment.
  • Collaborate with ML and product teams to bring GenAI models into production through model serving systems, APIs, and evaluation frameworks.

Requirements

  • 4+ years of experience developing large-scale backend or infrastructure systems, with emphasis on distributed services, reliability, and scalability.
  • Proficiency in Python or TypeScript and experience designing high-performance APIs and backend architectures with FastAPI, Flask, Express, or NestJS.
  • Deep familiarity with cloud infrastructure, especially AWS and Azure, plus Kubernetes, Docker, and Terraform.
  • Experience with relational and NoSQL databases such as PostgreSQL and DynamoDB, including data pipelines for data-intensive applications.
  • Hands-on experience with GenAI applications, model integration, or AI agent systems, including deploying, evaluating, and scaling AI workloads in production.
  • Strong understanding of observability, CI/CD, and security best practices for enterprise or multi-tenant environments.
  • Ability to balance rapid iteration with production-grade quality and ship reliable backend systems in fast-paced environments.
  • Collaborative mindset and willingness to work closely with ML, infrastructure, and product teams.

Culture & Benefits

  • Work on enterprise-scale GenAI systems and infrastructure for leading businesses, enterprises, and governments.
  • Inclusive and equal opportunity workplace committed to reasonable accommodations.
  • Applicants may be reconsidered for the same role after a 90-day waiting period.

Hiring process

  • Candidates are subject to a 90-day waiting period before reconsideration for the same role.

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