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5 дней назад

Senior Fullstack Engineer (AI & Data Products)

150 000 - 185 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Full Stack Engineer (AI & Data Products): Implement full-stack, user-facing features from complex financial data with an accent on AI/LLM/ML tools integration and data-driven experiences. Focus on developing backend services with TypeScript/Node.js/GraphQL/PostgreSQL, building React UIs, and owning end-to-end features for scalability, reliability, and observability.

San Francisco, CA, Washington, D.C., New York City, N.Y., Remote (USA)

Salary range of $150,000 - $185,000/year + bonus + benefits

Company

hirify.global offers services to improve financial prosperity through data and AI-driven experiences for millions of users.

What you will do

  • Work on a cross-functional team of software engineers, ML engineers, and product managers to implement full-stack features.
  • Implement AI/LLM/ML tools built by ML engineers and contribute to building them if interested.
  • Develop with TypeScript across Node.js, GraphQL, PostgreSQL stack, and React for UIs.
  • Own complex features end-to-end from design to production, ensuring scalability, reliability, and observability.
  • Participate in code reviews, design discussions, RFCs, and solution ideation.
  • Support collaborative culture by sharing ideas and providing feedback.

Requirements

  • 5+ years professional experience with Node.js/TypeScript, React (or similar), Postgres (or similar relational DB)
  • Curious and interested in machine learning and AI, excited to work with ML engineers on ML products.
  • Drive to build products that matter to users, understanding why you're building them.
  • Energized by complex problems with edge cases, distilling ambiguity into actionable tasks.
  • Love continual evaluation, improvement, feedback loops, and giving/receiving feedback.

Nice to have

  • Experience with GraphQL, Python, training/tuning ML/AI models, ops/infra.

Culture & Benefits

  • Health, Dental & Vision Plans, Life Insurance, Long/Short Term Disability.
  • Competitive Pay, 401k Matching, Team Member Stock Purchasing Program.
  • Learning & Development Opportunities, Tuition Reimbursement, Unlimited PTO.
  • Daily Lunch, Snacks & Coffee, Commuter benefits (in-office only).

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