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3 дня назад

Principal Backend Development Engineer (AI)

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

Текст:
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TL;DR
Principal Backend Development Engineer (AI) (Growth Platform/financial systems): Building user incentive, financial benefit, and AI-powered automation modules for a cryptocurrency exchange with an accent on distributed systems, monetary correctness, and agentic workflows. Focus on designing reliable fund-related execution, integrating AI agents with internal systems, and enforcing observability, safety controls, deterministic calculations, and authorized financial operations.

Location: Kuala Lumpur, Malaysia — Kuala Lumpur Tech Office

Company

hirify.global is a cryptocurrency exchange and digital financial platform serving users across more than 200 countries and regions, with products spanning trading, payments, wealth management, custody, institutional services, and Web3.

What you will do

  • Design, develop, test, deploy, operate, and evaluate modules for user incentives, experience improvements, business automation, and retention.
  • Build and maintain financial benefit systems covering rule execution, monetary calculations, disbursement, state transitions, idempotency, consistency, compensation, reconciliation, and auditing.
  • Productionize AI applications and user experiences, improving output quality, responsiveness, stability, and operating costs.
  • Design and iterate on AI Agents and agentic workflows integrating models, tools, knowledge retrieval, troubleshooting, operational assistance, and internal business systems.
  • Establish evaluation, observability, safety, context and state management, recovery, budget controls, human intervention, permission boundaries, and sensitive-data protection for AI workflows.
  • Build reusable AI-assisted engineering workflows for requirements analysis, development, testing, code review, and troubleshooting.

Requirements

  • Bachelor’s degree or above in Computer Science or a related field, plus at least four years of backend development experience; Go or Java is acceptable.
  • Strong programming fundamentals in concurrency, memory management, performance optimization, and complex issue troubleshooting.
  • Experience with distributed systems and core business modules, including concurrency conflicts, idempotency, duplicate message consumption, cross-service consistency, timeouts, and failure recovery.
  • Proficiency with RPC frameworks, caches, message queues, and relational databases, including their use cases and reliability limitations.
  • Core requirement: experience using AI coding tools for requirements decomposition, system analysis, coding, testing, and code review while validating outputs and maintaining engineering quality.
  • Core requirement: hands-on experience developing and deploying AI/LLM capabilities in real-world scenarios, with the ability to explain problem definition, contribution, trade-offs, and outcome validation.
  • Mandatory: hands-on development of fund- or monetary-value systems such as commission rebates, settlement, reconciliation, payments, accounting ledgers, vouchers, promotional credits, or subsidies, including monetary precision, duplicate disbursement prevention, failure compensation, or financial reconciliation.
  • Ability to translate business goals into technical problems and acceptance criteria, collaborate cross-functionally, and own testing, code review, observability, permission boundaries, data security, delivery, and production outcomes.

Nice to have

  • Experience designing and iterating on AI Agent or agentic workflows involving tool calling, orchestration, context and memory management, state persistence, failure recovery, or human intervention.
  • Experience evaluating Agent performance through datasets, failure cases, execution traces, or business metrics and improving reliability.
  • Experience building team-wide AI-assisted engineering workflows adopted by a team.
  • Experience owning complex business modules or cross-system projects, including solution design, dependency coordination, and delivery.
  • Familiarity with complex rule systems, microservices, asynchronous task orchestration, and choosing traditional workflows versus Agents based on cost, determinism, and error risk.
  • Experience with retention, user incentives, lifecycle engagement, or growth platforms; RAG, vector retrieval, knowledge bases, MCP, AI translation, search, or Agent orchestration frameworks; and cryptocurrency exchange or fintech engineering.

Culture & Benefits

  • Professional development support through a Study Growth Fund.
  • Regular team-building activities, workshops, and internal events.
  • International collaboration with colleagues from around the world.
  • Career advancement and internal mobility opportunities.

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