Position Details
About this role
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.
Key Responsibilities
- 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
Technical Overview
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.
Ideal Candidate
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.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
4+ years of full-time engineering experience, Must be able to work onsite in New York or San Francisco
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