Infrastructure Software Engineer, Enterprise GenAI

Scale AI, Inc.; New York (NY); On-site; USD 216,000 - 270,000; Full time

Benefits offered by this job

Health benefits

Equity

Learning stipend

Generous PTO

Job summary

Scale AI, Inc. is seeking a strong engineer to join our team to build and scale core infrastructure in a fast-paced environment.

You will design multi-cloud systems, implement integrations with customer environments, and collaborate across teams to deliver scalable infrastructure and fast experiments. Strong Python/TS, SQL, and Kubernetes experience is required.

Qualifications

• 4+ years of full-time engineering experience, post-graduation.
• Experience scaling products at hyper-growth startups.
• Experience tinkering with or productizing LLMs, vector databases, and other latest AI technologies.
• Proficient in Python or Javascript/Typescript, and SQL.
• Experience with Kubernetes.
• Experience with major cloud providers (AWS, Azure, GCP).
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

Responsibilities

• Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers.
• Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs).
• Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs.
• 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

Distributed systems

Cloud providers (AWS, Azure, GCP)

Tools

Kubernetes

Job description

Scale GP (Scale Generative AI Platform) is an enterprise-grade 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 core infrastructure 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 implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

What You'll Do

• Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
• Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs.
• 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

What We're Looking For

• 4+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper-growth startups
• Experience tinkering with or productizing LLMs, vector databases, and other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences

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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the role is eligible for equity grant. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend.

Base salary range for this full-time position in the locations of San Francisco, New York, Seattle: $216,000—$270,000 USD.

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].

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

Please see the United States Department of Labor's Know Your Rights poster for additional information.