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4 дня назад

Product AI Application Backend Engineer

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
Product AI Application Backend Engineer (Golang/Java, LLMs, Agents): Building scalable backend AI services for trading intelligence, risk control, compliance monitoring, and user services with an accent on model gateways, agent workflows, streaming inference, and financial data infrastructure. Focus on designing high-concurrency microservices, integrating tool-calling systems securely, and evaluating LLM output quality in production.

Location: Kuala Lumpur, Malaysia

Company

Cryptocurrency exchange and digital financial platform serving trading, payments, wealth management, custody, institutional services, and Web3 products.

What you will do

  • Design and develop AI backend services, including model gateways, agent scheduling layers, and streaming inference services.
  • Build high-concurrency, low-latency, horizontally scalable microservice architectures that meet production SLA requirements.
  • Develop agent workflows and tool-calling systems on the Openclaw platform, integrating trading, risk, and data systems with secure calls and reliable results.
  • Deliver AI services for intelligent customer support, risk signal detection, compliance analysis, and personalized user services.
  • Design session memory, long-term memory, knowledge base, and incremental update infrastructure for AI applications.
  • Establish LLM tracing, prompt version management, evaluation frameworks, and automated LLM-as-Judge pipelines.

Requirements

  • Proficiency in Golang or Java, with strong knowledge of data structures, algorithms, and system design.
  • Experience designing RESTful APIs and gRPC interfaces.
  • 5+ years of backend development experience with microservices, Kafka or RabbitMQ, Redis, and PostgreSQL or MySQL.
  • 1+ year of production experience building LLM applications or AI agents and independently delivering AI features end to end.
  • Practical experience with prompt engineering, few-shot and chain-of-thought design, and understanding of LLM limitations such as hallucinations and context length.

Culture & Benefits

  • Study Growth Fund supporting professional development and continuous learning.
  • Internal team-building activities, workshops, and innovation events.
  • Collaboration with an international team.
  • Career advancement and internal mobility opportunities.

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