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4 дня назад

Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer (Fullstack/AI): Building and scaling agentic systems for legal document analysis with an accent on LLM integration and scalable backend architecture. Focus on creating intuitive interfaces for legal professionals and architecting production-grade AI systems.

Location: Hybrid (London). Must be based in London and work in-person from the office 4 days a week.

Company

hirify.global is a rapidly growing legal AI startup building a comprehensive platform for managing and resolving legal disputes for enterprise law firms and Fortune 500 companies.

What you will do

  • Architect, build, and scale full-stack applications powering agentic systems for document analysis.
  • Develop customer-facing features, internal tooling, and DevOps infrastructure.
  • Collaborate with AI engineers to integrate LLM capabilities into production-ready software.
  • Build robust, scalable backend systems using modern cloud infrastructure.
  • Create intuitive user interfaces for legal professionals to interact with AI tools.
  • Work directly with customers to rapidly iterate on solutions.

Requirements

  • Strong experience with Node.js and TypeScript for backend development.
  • Strong Python experience for AI system development.
  • Proficiency with PostgreSQL for database design and optimization.
  • Hands-on experience with AWS cloud services and infrastructure.
  • Full-stack development experience with modern frontend frameworks.
  • Must be based in London to work in-person 4 days a week.

Nice to have

  • Entrepreneurial mindset and experience working in a fast-paced startup environment.
  • Passionate interest in AI and building bleeding-edge products.
  • Track record of shipping new product features or architectures independently.

Culture & Benefits

  • Competitive salary and significant equity.
  • High degree of autonomy and ownership over core systems.
  • Budget for professional growth and continuous learning.
  • Bi-annual team retreats.
  • Opportunity to work closely with experienced founders and AI scientists.

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