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4 дня назад

Principal AI Agent Development Engineer/Architect (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Principal AI Agent Development Engineer/Architect (AI Agents): Building production-grade agent platforms, orchestration runtimes, MCP integrations, and lifecycle toolchains for a global cryptocurrency exchange with an accent on steerable agent loops, multi-agent collaboration, and measurable effectiveness. Focus on designing 0-to-1 agent systems, optimizing token cost and latency, implementing evaluation and monitoring loops, and protecting financial workflows from prompt injection and compliance risks.

Location: Kuala Lumpur, Malaysia

Company

hirify.global is a cryptocurrency exchange and digital financial platform providing trading, payments, wealth management, custody, institutional services, and Web3 products.

What you will do

  • Design and implement the agent SDK, orchestration engine, runtime, and core primitives.
  • Build steerable, verifiable, conversational, and adaptive agentic loops.
  • Expand the MCP matrix by integrating internal systems as MCP servers, sub-agents, and agent skills.
  • Unify tool discovery, dynamic registration, RBAC, rate limiting, and version management.
  • Build agent development lifecycle tooling covering specification, evaluation, testing, A/B experiments, canary releases, monitoring, and iteration.
  • Own agent accuracy, resolution rate, cost, latency, and personalization optimization through data feedback loops.

Requirements

  • Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
  • 6+ years of experience, including 3+ years in AI or agent engineering; P7+ candidates should have 8+ years of experience and 0-to-1 agent platform experience.
  • Production-grade proficiency in Go or Python, system design, and TRD documentation.
  • Deep expertise in LLM APIs, prompt engineering, ReAct patterns, and context window management.
  • Experience launching and continuously iterating a production agent system, beyond demo or POC work.
  • Hands-on experience with an orchestration framework, multi-agent collaboration, and either RAG engineering or evaluation systems.

Nice to have

  • Experience building agent simulation or benchmarking platforms.
  • Private LLM deployment experience with vLLM, Triton, DeepSeek, Qwen, or GLM.
  • Domain expertise in crypto AI, AIOps, customer service AI, or code AI.
  • AI security research or open-source contributions to agent frameworks and MCP projects.
  • Public technical influence through blog posts, conference talks, papers, or open-source projects.

Culture & Benefits

  • Professional development support through a Study Growth Fund.
  • Internal team-building activities, workshops, and collaboration events.
  • Collaboration with an international team across multiple regions.
  • Career advancement opportunities in a rapidly expanding digital asset company.
  • Internal mobility opportunities for long-term career development.

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