Staff Software Engineer, Enterprise GenAI

Scale AI, Inc.; San Francisco (CA); On-site; USD 252,000 - 315,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits

Learning stipend

Generous PTO

Commuter stipend

Job summary

Scale AI, Inc. is seeking a strong engineer to join Scale GP (Scale Generative AI Platform) to build and scale our enterprise‑grade systems.

You will own large new areas within our product, work across backend, frontend, and interact with LLMs and ML models, delivering high‑velocity experiments with quality to engage customers. You will contribute across the full product lifecycle from concept to production, be comfortable multi‑tasking, and rapidly learn new technologies, including Kubernetes

Qualifications

• 7+ years of full-time engineering experience, post-graduation.
• Experience scaling products at hyper-growth startups.
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies.
• Proficient in Python or Javascript/Typescript, and SQL.
• Experience with Kubernetes.
• Experience with major cloud providers (AWS, Azure, GCP).

Responsibilities

• Own large new areas within our product
• Work across backend, frontend, and interacting with LLMs and ML models
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi‑task and learn new technologies quickly

Skills

Python

JavaScript/TypeScript

SQL

LLMs/ML

Distributed systems

Tools

Kubernetes

AWS

Azure

GCP

Vector databases

Job description

Scale GP (Scale Generative AI Platform) is an enterprise‑grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast‑paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large‑scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

What you will do

• Own large new areas within our product
• Work across backend, frontend, and interacting with LLMs and ML models
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi‑task and learn new technologies quickly

Ideally you’d have

• 7+ years of full‑time engineering experience, post‑graduation
• Experience scaling products at hyper‑growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

Compensation & Benefits

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is: $252,000–$315,000 USD.

Equal Opportunity Employment

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail]. Please see the United States Department of Labor’s Know Your Rights poster for additional information.

We comply with the United States Department of Labor’s Pay Transparency provision.