RUВакансия из Hirify RU, списка российских tech-компаний
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Зарплата и рынок
Средняя
$180к-270к/год
$180к$220кмедиана$230к
По похожим ролям (47) ~ $220к/год
На СНГ рынке: $3.8к/мес ($2.4к - $5к)
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Чётко описанная роль в AI сочетает современные технологии, ответственность за продукт в production и долю в компании, но заявленный высокий темп может означать повышенную нагрузку.
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Высокий темпСовременный стекСфера AIОтветственность за продуктЕсть доля в компании
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Fullstack Engineer (AI): Building customer-facing product features and production AI agents across the stack with an accent on TypeScript, NestJS, React, AWS, and reliable system design. Focus on taking systems from architecture through deployment, shipping AI agents, operating large-scale data systems, and resolving complex production issues.
Location: San Francisco, CA, USA
Salary: $180k–$270k base plus equity
Company
Fast-growing technology company building AI-native products used by FTSE 500 businesses, with a lean engineering team and rapid business growth.
What you will do
Build customer-facing product features and the AI agents powering them.
Own systems across architecture, development, deployment, and production operations.
Work on AI agents, large-scale data, and reliable production systems.
Take features from architecture through deployment and resolve real production issues.
Contribute hands-on in a small, high-output engineering environment.
Requirements
3–7 years of software engineering experience.
Strong production experience with TypeScript, NestJS, and React.
Experience deploying and operating applications on AWS.
Experience building and shipping AI agents into production.
Strong understanding of system design and production engineering.
Experience owning features from architecture through deployment.
Comfort debugging and resolving real production issues.
Strong software engineering fundamentals.
Nice to have
Experience building LLM evaluation frameworks.
Experience with feedback loops or self-improving AI systems.
Experience working with large datasets.
Terraform or infrastructure-as-code experience.
Strong observability experience.
Experience with Cursor, Claude Code, Copilot, or similar tools.
Products, side projects, or open-source work built outside of employment.
Experience taking an idea from 0 to 1 and independently identifying and solving problems.
Culture & Benefits
Small, high-output engineering team with direct product impact.
Ownership from architecture through production without layers of process.
Fast-paced, high-intensity environment focused on moving and learning quickly.
Opportunity to bring ideas to the team and build independently.
Equity included with the base salary.
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