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Staff Software Engineer, Enterprise GenAI

Scale AISan Francisco, CA; New York, NYApplications Platform Engineering
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Salary
Not listed
Job type
Full-time
Posted
27 May 2025
Status
Open · checked 7d ago

About this role

Scale AI is hiring a Staff Software Engineer for their Enterprise GenAI team in San Francisco, CA or New York, NY. This role suits an experienced engineer ready to scale enterprise-grade generative AI products and large-scale distributed systems.

Role Overview

The Enterprise GenAI team at Scale AI builds the Scale Generative AI Platform (Scale GP), which delivers APIs for knowledge retrieval, inference, and evaluation. This position requires an engineering professional to take ownership of major new product areas spanning backend and frontend development while integrating large language models and machine learning models. The professional in this role will handle challenging technical problems concerning reliability and scalability in a fast-paced environment.

Key Responsibilities

Take ownership of large new product areas within the enterprise generative AI platform.
Build features across both backend and frontend systems while interacting with LLMs and ML models.
Ship high-quality experiments quickly to engage customers effectively.
Drive projects through every phase of the product lifecycle, from initial conceptualization to production.
Adapt quickly to new technologies and manage multiple tasks concurrently.

Requirements

Possess at least 7 years of full-time professional engineering experience following graduation.
Bring hands-on experience scaling products within hyper-growth startup environments.
Demonstrate proficiency in Python, JavaScript, TypeScript, and SQL.
Have practical working experience with Kubernetes.
Understand major cloud platforms including AWS, GCP, and Azure.

Nice to Have

Experience tinkering with or productizing large language models, vector databases, and emerging artificial intelligence technologies.

Skills and Tools

Python
JavaScript
TypeScript
SQL
Kubernetes
AWS
GCP
Azure
Vector Databases
Large Language Models

Salary and Benefits

Eligible full-time employees in San Francisco and New York receive a base salary range between $252,000 and $315,000 USD, though final pay is determined by factors such as location, experience, and interview performance. Additional compensation includes equity subject to Board approval. Comprehensive benefits feature health, dental, and vision coverage, retirement plans, a learning and development stipend, generous PTO, and potentially a commuter stipend.

About the Company

Scale AI focuses on building reliable artificial intelligence systems to support critical decisions for major global enterprises and government agencies. Their platform delivers data and full-stack technologies utilized by industry leaders like Meta, Ernst & Young, Mayo Clinic, and government branches such as the U.S. Army and Air Force. The organization operates as an equal opportunity workplace dedicated to inclusion.

How to Apply

Visit the official company careers page to submit an application for this position.

Skills and tech stack

Questions candidates ask

What is the location of the Staff Software Engineer, Enterprise GenAI role?

The position is based in San Francisco, CA or New York, NY.

How many years of experience are required for this role?

Candidates must have at least 7 years of full-time engineering experience post-graduation.

What is the salary range for this position in San Francisco and New York?

The base salary range for full-time employees in these locations is $252,000 to $315,000 USD.

What technologies and programming languages should applicants know?

Applicants should be proficient in Python, JavaScript, TypeScript, SQL, Kubernetes, and major cloud providers like AWS, GCP, and Azure.

What benefits are included with this role?

Benefits include comprehensive health, dental, and vision coverage, retirement benefits, learning and development stipends, generous PTO, equity, and potentially a commuter stipend.

Ready to apply?

The application is on the official Scale AI careers page.

Apply on company site