✦ Luna Orbit — Software Engineering

Software Engineer, Enterprise AI

at Scale AI

📍 New York, NY; San Francisco, CA Onsite Posted April 02, 2026
Type Full-Time
Experience mid
Exp. Years 4+ years
Education Not specified
Category Software Engineering

Software Engineer, Enterprise AI works across backend and frontend to scale Scale's knowledge retrieval, inference, and evaluation platforms, interacting with LLMs and ML models in a fast-paced environment.

  • Own large new areas within our product
  • Deliver experiments quickly
  • Work across backend, frontend, and ML models
  • Collaborate across product lifecycle
  • Scale product reliability and performance

Role focuses on distributed systems, multi-cloud (AWS/Azure/GCP), Kubernetes-based deployments, and integration with LLMs/ML models. Proficiency in Python/JS/TS and SQL is required, with experience in CI/CD pipelines.

The ideal candidate is a mid-level software engineer with at least 4 years of full-time experience, strong Python/JavaScript/TypeScript and SQL skills, and hands-on Kubernetes and multi-cloud (AWS/Azure/GCP) experience. They should be comfortable working across backend and frontend, productizing AI/inference workflows, and delivering scalable distributed systems.

4+ years of full-time engineering experienceProficient in Python or Javascript/Typescriptand SQLExperience with KubernetesExperience with major cloud providers (AWSAzureGCP)
Experience tinkering with or productizing LLMsVector databasesNoSQL/SQL databasesExperience with RedisMongoDBPostgresExperience with CI/CD tooling (CircleCI)
KubernetesDockerPythonJavaScriptTypeScriptSQLCircleCIAWSAmazon Web ServicesAzureGoogle Cloud PlatformGCPTemporal
PythonJavaScriptTypeScriptSQLKubernetesDockerAWSAmazon Web ServicesAzureMicrosoft AzureGoogle Cloud PlatformGCPTemporalCI/CDCircleCIvector databases
PythonJavaScriptTypeScriptSQLKubernetesDockerAWSAmazon Web ServicesAzureMicrosoft AzureGoogle Cloud PlatformGCPTemporalCI/CDCircleCIVector databases
OwnershipCommunicationCollaborationAdaptabilityProblem-solving
Industry SaaS
Job Function Own and evolve large-scale backend/frontend areas of Scale's enterprise AI platform.
Role Subtype Backend Engineer
Tech Domains Python, JavaScript, TypeScript, SQL / PostgreSQL, Kubernetes, Docker, Amazon Web Services, Microsoft Azure, Google Cloud Platform, Temporal
Software EngineerEnterprise AIScale GPfull stackLLMsvector databasesPythonJavaScriptTypeScriptSQLKubernetesDockerAWSAmazon Web ServicesAzureMicrosoft AzureGoogle Cloud PlatformGCPCircleCITemporaldistributed systemscloud providersback-endfront-endml modelspythonjavascripttypescriptsqlkubernetesdockerawsamazon web servicesazuregoogle cloud platform

4+ years of full-time engineering experience, Must be able to work onsite in New York or San Francisco

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