Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятная зона ответственности для senior-специалиста и фокус на AI и данных дают хорошие возможности для роста, но консалтинговый формат и широкий круг задач могут вести к частому переключению между проектами.
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Широкий круг задачСовременный стекAI в финансахВлияние на команду
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Fullstack Engineer (AI) (Python/JavaScript/TypeScript): Building end-to-end backends, frontends, data pipelines, and AI systems for private equity and credit firms with an accent on ambiguous requirements, enterprise data, and production ownership. Focus on designing scalable architectures, turning fuzzy client needs into working software, and delivering reliable systems through rapid iteration.
Location: United States
Company
hirify.global is a data and AI consultancy serving private equity and credit firms, building systems for funds managing $5B to $100B.
What you will do
Own products end-to-end, from ambiguous requirements through production systems.
Spend approximately 60–70% of the role coding and 30–40% on architecture and client meetings.
Build and iterate backends, frontends, data pipelines, and AI systems.
Translate unclear client requests into scoped systems with clear data models, interfaces, and production paths.
Lead code reviews, documentation, architecture decisions, pairing, and technical knowledge sharing.
Work independently while collaborating directly with clients and the founder.
Requirements
5+ years shipping production systems owned end-to-end.
Production experience with Python backends and modern JavaScript/TypeScript frontends, including technologies such as React and Next.js.
Architecture-minded approach to performance, scalability, reliability, API design, testing, maintainability, and engineering tradeoffs.
Ability to work successfully in ambiguous, fast-moving environments and deliver without micromanagement.
Ability to test edge cases, document decisions, and think through technical implications.
Ability to work directly with clients, identify their underlying needs, and create practical plans.
Experience informally leading others through reviews, pairing, or project ownership.
Ability to use AI productively while avoiding excessive technical debt and retaining strong software engineering fundamentals.
Nice to have
Background in data engineering or building on messy enterprise data.
Prior client-facing experience.
Exposure to finance, private equity, or credit.
Culture & Benefits
Small team with direct access to the founder and no layers between engineering decisions and execution.
Opportunity to influence engineering practices, product direction, and company culture.
Competitive compensation with a discretionary bonus and path to profit share.
Flexible PTO, unlimited tokens, and wellness stipends.
Top-tier medical, dental, and vision coverage.
In-office perks including lunch, snacks, drinks, and offsites.
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