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Staff Software Engineer, Enterprise Generative AI

Scale AISan Francisco, CA; New York, NY
On-site Full-time $248.4K/yr - $310.5K/yr

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Experience Level

Mid to Senior

Qualifications

Your Responsibilities:Lead the development of substantial new features within our product. Collaborate across backend and frontend teams while interfacing with LLMs and ML models. Rapidly deliver high-quality experiments that enhance customer engagement. Contribute throughout the product lifecycle, from initial concept to production deployment. Demonstrate the ability and willingness to multi-task and swiftly adopt new technologies. Preferred Qualifications:7+ years of engineering experience post-graduation. Experience scaling products in high-growth startups. Hands-on experience with LLMs, vector databases, and cutting-edge AI technologies. Proficient in Python or JavaScript/TypeScript, and SQL. Familiarity with Kubernetes. Experience with major cloud service providers (AWS, Azure, GCP).

About the job

Join Scale's innovative team and contribute to the development of the Scale Generative AI Platform (Scale GP), an enterprise-level Generative AI platform offering robust APIs for knowledge retrieval, inference, evaluation, and beyond. We are on the lookout for a talented Staff Software Engineer who is eager to tackle challenging engineering problems and help scale our product in a dynamic environment. The ideal candidate will possess a solid grasp of software engineering principles, coupled with experience in large-scale distributed systems. You will take ownership of significant new components within our product, working across both backend and frontend systems while engaging with LLMs and machine learning models. Your role will involve solving complex issues related to scalability and reliability.

About Scale AI

Scale AI is at the forefront of harnessing the power of artificial intelligence to revolutionize how businesses operate. Our Generative AI Platform is designed for enterprise needs, providing advanced solutions that drive efficiency and innovation. Join us in shaping the future of AI technology.

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