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
- 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:
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