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Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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 (TypeScript/AI): Building and scaling fullstack products for AI-powered debt collection, including customer configuration tools, portfolio monitoring, integrations, and data flows for AI agents with an accent on end-to-end ownership and production systems. Focus on designing reliable systems, improving AI-driven workflows, and developing self-serve onboarding and integrations with CRM, ERP, and core banking platforms.

Location: London, United Kingdom — Hybrid

Company

hirify.global is a fast-growing startup building AI-powered agents and automation for debt collection across voice, messaging, email, and SMS channels.

What you will do

  • Own software problems end to end: understand needs, design solutions, ship them, operate them in production, and iterate based on real usage.
  • Build and evolve customer-facing products for configuring debt-collection strategies, monitoring portfolios, and reviewing AI conversations.
  • Develop self-serve onboarding, customer-system integrations, and data flows that support AI agents.
  • Contribute to internal tools, AI skills, and automations that improve engineering and company operations.
  • Design, debug, and scale production systems while considering failure modes, latency, and cost.

Requirements

  • 4+ years of experience building and scaling production software.
  • Fullstack experience, or strong backend/frontend experience with the motivation to work across the stack.
  • Strong proficiency with TypeScript, Node.js, and React or a similar modern frontend framework.
  • Demonstrated ability to design, operate, and debug real production systems.
  • Strong ownership, critical use of AI development tools, and effective cross-functional communication.

Nice to have

  • Experience with AWS, GCP, or Azure.
  • Knowledge of CI/CD pipelines and automated testing.
  • Previous experience with AI/ML projects or startup environments.

Culture & Benefits

  • Hybrid and flexible working environment.
  • Stock options.
  • Pension plan.
  • Learning and growth opportunities.
  • End-to-end ownership and the opportunity to ship to production early.

Hiring process

  • Initial conversation about experience, motivation, and expectations.
  • Technical discussion with the Hiring Manager and potentially another team member.
  • Practical technical exercise followed by a meeting with the founders.

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