Senior Software Engineer, Full-Stack – Scale GP

Навыки

• AI-инструменты в работе
• API (интеграции)
• AWS
• Azure
• Распределённые системы
• Google Cloud
• Kubernetes

О компании и продукте

• 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 work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
• We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
• We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
• We comply with the United States Department of Labor's Pay Transparency provision .

Задачи

• Own major full-stack product areas , driving features from design through production deployment
• Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components
• Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences
• Deliver experiments and new features quickly , maintaining high quality and tight feedback loops with customers
• Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP
• Adapt quickly —learning new technologies, frameworks, and tools as needed across the stack
• Ideal Experience
• 5+ years of full-time engineering experience , post-graduation
• Strong experience developing full-stack applications using React, TypeScript, and Python
• Experience scaling or shipping products at high-growth startups
• Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)
• Proficiency with SQL and modern API development
• Experience with Kubernetes , containerization, and microservice architectures
• Experience working with at least one major cloud provider (AWS, GCP, or Azure)
• Please reference the job posting's subtitle for where this position will be located
• For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is
• PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role
• This allows us to ensure a fair and thorough evaluation of all applicants
• Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more
• You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems
• You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment

Условия

• Compensation packages at Scale for eligible roles 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 and may be inclusive of several career levels at Scale
• 216,200 — $270,250 USD

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