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Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Software Engineer (AI/TypeScript): Building and scaling an event-driven platform where AI agents conduct personalized debt collection conversations for banks with an accent on fullstack product development, integrations, and production reliability. Focus on designing self-serve onboarding, CRM/ERP and core banking integrations, AI data flows, and secure systems operating under real SLAs.

Location: Dubai, UAE; hybrid with 3 days per week in the office and 2 days remote

Company

hirify.global builds AI agents and a platform for banks, starting with voice AI for debt collection across voice, messaging, email, and SMS.

What you will do

  • Own software problems end-to-end, from understanding the need and designing a solution to production operation and iteration.
  • Build and evolve customer-facing products for strategy configuration, portfolio monitoring, and AI conversation analysis.
  • Develop self-serve onboarding, customer integrations with CRM, ERP, and core banking systems, and data flows that improve AI agents.
  • Contribute to internal tools, AI skills, automations, and engineering practices that improve company-wide productivity.
  • Design, debug, and operate production systems with attention to failure modes, latency, cost, scalability, and bank-grade security.

Requirements

  • 4+ years of experience building and scaling production software.
  • Strong TypeScript proficiency across the stack, including Node on the backend and React or a similar modern framework on the frontend.
  • Fullstack experience, or strong backend/frontend experience with a desire to work across the stack.
  • Ability to design, run, and debug real production systems.
  • Strong ownership, communication, and cross-functional collaboration skills.
  • Ability to use AI coding tools critically while retaining ownership of technical decisions and delivered code.

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 model with three office days and two remote days per week.
  • Stock options.
  • Mentorship, training, and exposure to real-world AI projects.
  • Early-stage startup environment with opportunities to take on more responsibility.
  • Commitment to a diverse, inclusive, and equitable workplace.

Hiring process

  • Introductory interview with a future teammate.
  • Technical discussion with the Hiring Manager and potentially another team member.
  • Practical technical assessment or business case, followed by a founders' call.

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