Software Engineer (Backend), Enterprise

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

Backend-focused role building and scaling enterprise GenAI infrastructure. You’ll design and maintain scalable APIs and distributed data systems, deploy across hybrid/multi-cloud environments, and collaborate with ML, infra, and product teams to productionize GenAI models. You’ll work on reliable, high-performance backend systems that enable enterprise AI adoption at scale, shaping how large organizations deploy AI in production.

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FursaFursa
Scale AI
Scale AI
9 months ago

Software Engineer (Backend), Enterprise

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Backend-focused role building and scaling enterprise GenAI infrastructure. You’ll design and maintain scalable APIs and distributed data systems, deploy across hybrid/multi-cloud environments, and collaborate with ML, infra, and product teams to productionize GenAI models. You’ll work on reliable, high-performance backend systems that enable enterprise AI adoption at scale, shaping how large organizations deploy AI in production.
Location: Budapest
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design, build, and scale backend systems that power enterprise GenAI products and ensure reliability, performance, and deployment across Scale’s and customers’ infrastructure
  • •Develop core services and APIs that securely integrate AI models and enterprise data sources for production-scale adoption
  • •Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads
  • •Optimize backend performance for latency, throughput, and cost across hybrid and multi-cloud environments
  • •Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments

Key Requirements

  • •4+ years of experience developing large-scale backend or infrastructure systems, with a focus on distributed services, reliability, and scalability
  • •Proficiency in Python or TypeScript with experience designing high-performance APIs using FastAPI, Flask, Express, or NestJS
  • •Deep familiarity with cloud infrastructure (AWS and Azure preferred) including Kubernetes and Docker, plus Terraform
  • •Experience managing data systems (PostgreSQL, DynamoDB, etc.) and building data 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+ yearsGenAIBackendCloudDistributed systems
Skills:PythonTypeScriptFastAPIFlaskExpressNestJSKubernetesDockerTerraformPostgreSQLDynamoDBGenAICI/CDSecurityObservabilityMulti-cloud
Languages:English
Tech Stack:PythonTypeScriptFastAPIFlaskExpressNestJSKubernetesDockerTerraformPostgreSQLDynamoDBCI/CDAWSAzureGCPObservabilitySecurity

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