26 дней назад
Fullstack Engineer (AI-native)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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