Staff Software Engineer, Full-Stack - Enterprise Gen AI
ScaleNew York, NY; San Francisco, CAPosted 23 February 2026
Tech Stack
Job Description
<h3>Staff Software Engineer, Full-Stack - Enterprise Gen AI</h3>
<p>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.</p>
<p>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 <strong>TIME’s Person of the Year AI experience</strong> (<a href="https://time.com/ayit/">see it in action</a>), where our AI technology helped shape one of the most iconic features in media. You'll also contribute to <strong>Scale’s GenAI Platform</strong> (<a href="https://docs.gp.scale.com/docs/intro-to-the-sgp-ui">SGP</a>), 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.</p>
<h3><strong>You Will:</strong></h3>
<ul>
<li>Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies</li>
<li>Develop and refine features for <strong>Scale’s GenAI Platform</strong>, empowering businesses to build, deploy, and manage AI-driven agents</li>
<li>Design, build, and optimize polished, high-performance UIs using <strong>Next.js, React, TypeScript, and Tailwind</strong></li>
<li>Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences</li>
<li>Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure</li>
<li>Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility</li>
</ul>
<h3><strong>Ideally, You Have:</strong></h3>
<ul>
<li>5+ years of experience developing frontend or fullstack applications in a modern tech stack</li>
<li>Strong proficiency in <strong>Next.js, React, TypeScript, and Tailwind</strong>, with an eye for building polished, user-friendly interfaces</li>
<li>Experience working on high-visibility, customer-facing applications and <strong>making trade-offs between speed and quality</strong> in fast-paced environments</li>
<li>A passion for AI and experience working on <strong>interactive AI applications, agent-based systems, or data-rich web platforms</strong></li>
<li>Familiarity with backend technologies such as <strong>FastAPI, PostgreSQL, GraphQL</strong>, and cloud infrastructure like <strong>AWS, Azure, or GCP</strong></li>
<li>A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life</li>
</ul>
<p><br>This role is a unique opportunity to <strong>shape the future of AI-powered user experiences</strong>, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you’re excited by the intersection of AI, frontend engineering, and product design, we’d love to hear from you.</p>
<p><em><span style="font-weight: 400;">The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $</span>248,400<span class="divider">—</span>$310,500 USD</em></p>
<p><em><span style="font-weight: 400;">. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factor ... (truncated, view full listing at source)
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