Software Engineer, Enterprise AI

1 Day ago • 5 Years + • $160,000 PA - $254,400 PA

Job Summary

Job Description

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform offering APIs for knowledge retrieval, inference, and evaluation. As a Software Engineer, you will be instrumental in building and scaling our product in a dynamic environment. Your responsibilities will include owning significant new product areas, collaborating across backend and frontend development, and interacting with LLMs and ML models. You will tackle complex engineering challenges in scalability and reliability. You will be involved in the entire product lifecycle, from conceptualization to production, requiring adaptability and a willingness to quickly learn new technologies.
Must have:
  • 5+ years of full-time engineering experience, post-graduation
  • Experience scaling products at hyper growth startups
  • Experience with LLMs, vector databases, and AI technologies
  • Proficient in Python or Javascript/Typescript, and SQL
  • Experience with Kubernetes
  • Experience with major cloud providers (AWS, Azure, GCP)

Job Details

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
  • Proficient in Python or Javascript/Typescript, and SQL
  • Experience with Kubernetes
  • Experience with major cloud providers (AWS, Azure, GCP)

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