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26 дней назад

Fullstack Engineer (AI-native)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Fullstack Engineer (AI-native) (Fintech/AI): Building end-to-end features for a corporate card and spend management platform, from React and Next.js interfaces to Node.js and NestJS services, APIs, and data models, with an accent on secure financial data handling and AI-assisted delivery. Focus on integrating LLM capabilities with retrieval, tool calling, evaluation harnesses, cost controls, and guardrails while verifying generated code for production safety.

Location: Dubai, United Arab Emirates

Company

hirify.global builds a corporate card and spend management platform with integrations across banking, card issuing, ERP, and accounting systems.

What you will do

  • Design, build, and own full-stack product features from React and Next.js interfaces through Node.js and NestJS services, APIs, and data models.
  • Build RESTful APIs and integrations with card issuing, banking, ERP, and accounting providers.
  • Deliver AI-powered product capabilities using providers such as OpenAI, Anthropic, and AWS Bedrock, including retrieval, tool calling, evaluations, and guardrails.
  • Use agentic coding tools to decompose work, create specifications and tests, and deliver production features.
  • Review, test, and harden AI-generated code, maintaining security, privacy, compliance, and data-handling standards.
  • Troubleshoot production issues, participate in on-call and incident response, and improve CI/CD, tooling, and development processes.

Requirements

  • 5+ years of experience building and running production web applications as a full-stack engineer.
  • Strong experience with React, Next.js, TypeScript, JavaScript, Node.js, NestJS, TypeORM, PostgreSQL, and at least one NoSQL database.
  • Experience with AWS, containerised services, CI/CD pipelines, automated testing, observability, RESTful APIs, microservices, and API gateways.
  • Demonstrable production use of an agentic coding tool such as Claude Code, Cursor, Windsurf, or GitHub Copilot.
  • Ability to verify AI-generated code, apply secure coding practices, and protect cardholder, financial, and personal data.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to have

  • Production experience integrating LLM APIs, including streaming, retries, timeouts, token and cost control, caching, and graceful degradation.
  • Experience with retrieval-augmented generation, vector search, structured outputs, tool calling, and LLM evaluation.
  • Knowledge of the OWASP Top 10 for LLM Applications and its mitigations.
  • Experience in fintech, payments, or another regulated domain, including PCI DSS, SOC 2, or data residency requirements.

Culture & Benefits

  • AI is part of the standard engineering toolchain rather than a side experiment.
  • Engineers are accountable for reviewing AI-generated output and for everything shipped to production.
  • Work is evaluated based on outcomes delivered and defects avoided.
  • The role reports directly to the Chief Technology Officer and contributes to internal standards for safe AI-assisted development.

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