About the job
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.
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
Qualifications
Minimum
4+ years of full-time engineering experience, post-graduation
Experience scaling products at hyper growth startups
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
Preferred
Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies