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Infrastructure Software Engineer, Enterprise GenAI

at Scaleai

San Francisco, CA; New York, NY, mid, full time, USD 1,79,400–2,24,250 / year, 4+ years

posted 23 Feb 2026

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  • TypeScript
  • Azure
  • GCP
  • LLMs
  • Vector Databases
  • JavaScript
  • AWS
  • Python
  • SQL
  • Kubernetes

About the role

Posted: 2026-02-23

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 would 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 they are looking for

- 4+ years of full-time engineering experience, post-graduation

- Experience scaling products at hyper growth startups or similar fast paced environments

- 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)

- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences:

Read from job-boards.greenhouse.io, last seen 3d ago.

Scale is known for its talent density, but it’s not just about raw intelligence. It’s about being a great teammate, caring deeply about the work, and driving real impact. We want to hire people who take pride in what they build and are energized to collaborate with like-minded peers.

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.

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:

$179,400—$224,250 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.