Staff Software Engineer, Enterprise GenAI New York, NY Apply →

Scale AI, Inc.; New York (NY); On-site; USD 188,000 - 235,000; Full time

Job summary

A leading AI platform company in New York is looking for an experienced engineer to drive product development and address critical engineering challenges. You'll own large product areas, work cross-functionally with LLMs and ML models, and innovate at a rapid pace. Ideal candidates will have extensive experience in software engineering and cloud technologies. This full-time role offers a competitive salary in the range of $188,000 to $235,000 annually.

Qualifications

• 5+ years of full-time engineering experience, post-graduation.
• Experience scaling products at hyper growth startups.
• Experience with latest AI technologies, LLMs, and vector databases.

Responsibilities

• Own large new areas within our product.
• Work across backend, frontend, and with LLMs.
• Deliver experiments at a high velocity and quality.

Skills

Software engineering principles

Scalability

Distributed systems

Cloud services (AWS, Azure, GCP)

Kubernetes

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.

You will:

• 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:

• 5+ 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
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$188,000 — $235,000 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

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.

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