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Experience Level
Mid to Senior
Qualifications
Key Responsibilities:
Develop and enhance user-facing AI applications for major enterprise clients, including prominent media and Fortune 500 companies.
Contribute to the development and refinement of features for Scale’s GenAI Platform, enabling businesses to build and manage AI-driven agents.
Design, construct, and optimize high-performance, user-friendly UIs using Next.js, React, TypeScript, and Tailwind.
Collaborate closely with product managers, designers, and AI/ML teams to deliver seamless and impactful user experiences.
Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud infrastructure.
Deliver features at a rapid pace while maintaining exceptional code quality, performance, and accessibility.
Preferred Qualifications:
5+ years of experience in developing frontend or full-stack applications using modern tech stacks.
Strong expertise in Next.js, React, TypeScript, and Tailwind, with a passion for crafting polished, user-friendly interfaces.
Experience in building high-visibility, customer-facing applications and making informed trade-offs between speed and quality in fast-paced environments.
About the job
Join Our Team as a Staff Software Engineer, Full-Stack - Enterprise Generative AI
At Scale AI, we are revolutionizing enterprise workflows through our Scale Generative AI Platform (Scale GP), an advanced AI solution that provides APIs for knowledge retrieval, inference, evaluation, and much more. We are seeking a talented full-stack engineer, with a strong front-end focus, to develop innovative AI-powered applications that transform how businesses operate.
In this dynamic role, you will collaborate on diverse projects, ranging from cutting-edge customer-facing applications to internal SaaS products. Be part of our engineering team that powers initiatives such as TIME’s Person of the Year AI experience (see it in action), showcasing how our technology impacts the media landscape. Additionally, you will enhance Scale’s GenAI Platform (SGP), a robust system enabling businesses to create and manage AI agents at scale. Whether developing interactive AI assistants or refining our core SaaS platform, your contributions will shape the future of AI in real-world applications.
About Scale AI
Scale AI is at the forefront of generative AI technology, providing enterprises with the tools they need to harness AI for their workflows. Our mission is to empower businesses through innovative solutions that redefine the way they operate and engage with their customers. Join us and be part of a team that is shaping the future of AI.
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Amplitude stands as the premier AI analytics platform, empowering over 4,700 clients—including industry leaders like Atlassian, Burger King, NBCUniversal, Square, and Under Armour—to create superior products and digital experiences. Our platform integrates powerful AI Agents, enabling teams to analyze, test, and optimize user experiences with unprecedented speed. Recognized as the top solution across various categories in G2’s Fall 2025 Report, Amplitude excels for product, data, and marketing teams alike. Discover more at amplitude.com.At Amplitude, we prioritize delivering value to our customers through our core values. We foster an environment rooted in humility, ownership, and a growth mindset, ensuring that our customers remain at the heart of our endeavors.Commitment to Diversity, Equity, and Inclusion (DEI): Amplitude recognizes that diversity enhances product development, problem-solving, and solution effectiveness. We are dedicated to cultivating an inclusive atmosphere—centered on psychological safety, empathy, and human connection—where employees from all backgrounds can thrive.The Developer Experience (DX) team at Amplitude is responsible for building and maintaining the essential frameworks that facilitate developer integration, extension, and trust in Amplitude across various platforms. Our mission is to ensure that Amplitude's SDKs are reliable, user-friendly, and enjoyable to work with, allowing customers to instrument their products confidently and extract insights at scale.We are in search of a Staff Software Engineer specializing in Android to take on a pivotal technical leadership position within our DevEx team. In this role, you will be instrumental in designing and developing Amplitude’s core Android SDKs, including Analytics and Session Replay, and serve as the go-to Android platform expert for other SDK teams, such as Experiment, Guides, and Surveys.As a Staff Engineer, you will operate within a broad scope and with significant impact: setting the technical vision for the Android platform, steering cross-SDK architecture, enhancing performance and reliability, and elevating the developer experience throughout Amplitude’s mobile ecosystem.
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At Magic, we are on a mission to create safe AGI that propels humanity forward in tackling the world's most pressing challenges. We believe that the key to achieving safe AGI lies in automating research and code generation, allowing us to enhance models and ensure alignment more reliably than human capabilities alone. Our innovative approach integrates frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and advanced inference-time computing to realize this vision.About the Role:We are seeking a passionate individual to spearhead developer experience and data tooling within our pre-training data team. This role involves creating internal tools and infrastructure that enhance team productivity, including dashboards, command-line interfaces (CLIs), data exploration UIs, and the systems that interconnect them.Focusing on developer experience and tooling, we need someone who enjoys solving problems, deploying solutions quickly, and experimenting with new ideas.Potential Projects:Lead tooling initiatives across the architecture: develop systems, implement continuous integration, create CLI utilities, and design internal web interfaces.Design internal tools for dataset exploration, data labeling, quality assessment, and data inventory management.Enhance data infrastructure ergonomics—optimizing IO patterns in Ray/dataflow jobs, improving dataset tracking, and enhancing pipeline observability.Spot opportunities by engaging with the team, understanding their challenges, and proactively refining workflows.Elevate standards for code organization, packaging, and engineering best practices.What We Are Looking For:Preferred QualificationsSolid foundation in software engineering principles.Genuine interest in developer experience and best practices for code organization.Effective communicator, adept at collaborating with teammates to understand their requirements.Proactive mindset—identifies issues and implements solutions.Local to San Francisco (this role requires in-office attendance).Ideal Background (in order of importance)Open source contributor—experience with tools similar to Ruff, uv, or other developer-centric projects.Experience in build systems and CI—has developed or overseen build systems, CI pipelines, or developer tools on a large scale.Data pipeline experience—understanding of optimizing data workflows and data handling.
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Join Our Team as a Staff Software Engineer, Full-Stack - Enterprise Generative AI At Scale AI, we are revolutionizing enterprise workflows through our Scale Generative AI Platform (Scale GP), an advanced AI solution that provides APIs for knowledge retrieval, inference, evaluation, and much more. We are seeking a talented full-stack engineer, with a strong front-end focus, to develop innovative AI-powered applications that transform how businesses operate. In this dynamic role, you will collaborate on diverse projects, ranging from cutting-edge customer-facing applications to internal SaaS products. Be part of our engineering team that powers initiatives such as TIME’s Person of the Year AI experience (see it in action), showcasing how our technology impacts the media landscape. Additionally, you will enhance Scale’s GenAI Platform (SGP), a robust system enabling businesses to create and manage AI agents at scale. Whether developing interactive AI assistants or refining our core SaaS platform, your contributions will shape the future of AI in real-world applications.
Mar 26, 2026
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