Шанс попасть в одного из лидеров рынка AI в команду 0-1 с передовым агентным стеком. Это роль с огромным влиянием на продукт и мощным потенциалом для карьерного роста.
Кликните для подробной информации
Зарплата не указанаПередовой стекТрендовый доменВысокий потенциал ростаПонятная роль
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer - AI Enablement (AI): Building full-stack agent-powered tools and production AI systems with an accent on TypeScript/Python backend services, distributed systems, and LLM integrations. Focus on integrating vector databases and agentic frameworks, developing reliable data pipelines, and shipping scalable solutions from 0→1.
Salary: $180,000–$225,000 USD per year
Company
Scale AI develops reliable AI systems, high-quality data products, and full-stack technologies for enterprises, governments, and leading AI model providers.
What you will do
Own full-stack features and projects from design through production deployment.
Build agent-powered tools for workflows such as accounting, finance, go-to-market operations, and agentic experimentation.
Develop backend services in TypeScript and Python using distributed systems, data pipelines, and AI/ML infrastructure.
Integrate LLMs, embeddings, vector databases, and agentic frameworks into intelligent workflows.
Work with product, forward-deployed engineering, data science, and applied AI partners to turn real-world problems into scalable production solutions.
Iterate quickly while maintaining system quality, reliability, and production ownership.
Requirements
3+ years of full-time software engineering experience.
Strong full-stack fundamentals and production ownership of shipped features.
Experience or familiarity with LLMs, embeddings, vector databases, or modern AI data products and tools.
Exposure to distributed systems and cloud-based architectures.
Product intuition, customer empathy, ownership, and comfort working across engineering, product, data science, and applied AI.
Culture & Benefits
0→1 environment focused on building systems from scratch and solving real business problems.
Opportunities to work closely with customers and cross-functional partners.
Health, dental, and vision coverage.
Retirement benefits, learning and development stipend, and generous paid time off.
Potential additional benefits such as a commuter stipend and equity compensation for eligible roles.
Hiring process
Salary placement is determined during the interview process based on work location, skills, experience, qualifications, interview performance, and education or training.
Candidates must wait 90 days before being reconsidered for the same role.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →