обновлено 11 дней назад
Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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