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Senior Software Engineer, Full-Stack - Enterprise Gen AI

Scale AI, Inc.

Company : Scale AI, Inc.

Location : San Francisco, CA, 94199

Posted Date : 7 October 2025

Job Type : Full Time

Category : Software Development

Occupation : Software Engineer

Job Details

Overview

Senior Software Engineer, Full-Stack - Enterprise Gen AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences.

At Scale, you\'ll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME\'s Person of the Year AI experience (see it in action), where our AI technology helped shape one of the most iconic features in media. You\'ll also contribute to Scale\'s GenAI Platform (SGP), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it\'s developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you\'ll play a crucial role in shaping how AI integrates into real-world applications.

Responsibilities

  • Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies
  • Develop and refine features for Scale\'s GenAI Platform , empowering businesses to build, deploy, and manage AI-driven agents
  • Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind
  • Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences
  • Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure
  • Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility

Qualifications

  • 2+ years of experience developing frontend or fullstack applications in a modern tech stack
  • Strong proficiency in Next.js, React, TypeScript, and Tailwind , with an eye for building polished, user-friendly interfaces
  • Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments
  • A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms
  • Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL , and cloud infrastructure like AWS, Azure, or GCP
  • A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life

Compensation and Benefits

This role offers base salary, equity, and benefits. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $160,000 - $192,000, with compensation packages reflecting location and other factors. Scale employees are granted stock options and receive benefits including health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and may be eligible for additional benefits such as a commuter stipend.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.

About Us

At Scale, our mission is to develop reliable AI systems for the world\'s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world\'s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We are an inclusive, equal opportunity workplace and comply with applicable laws. We provide reasonable accommodations in the application process if needed.

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