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4 дня назад

(Sr.) Applied AI Engineer (Cybersecurity)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Taiwan
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
Senior Applied AI Engineer (AI agents and LLM infrastructure): Building and shipping frontier AI capabilities, agents, and LLM-powered product features for cybersecurity products with an accent on applied AI delivery, agent design, and reliable LLM behavior. Focus on designing evaluation harnesses and telemetry, solving agent-stack failures, and moving prototypes into measurable production impact.

Location: Taipei, Taiwan

Company

hirify.global is a global cybersecurity company protecting organizations across clouds, networks, devices, and endpoints.

What you will do

  • Build and ship frontier AI projects, including agents and LLM-powered product features.
  • Design and operate AI infrastructure such as agent platforms, evaluation harnesses, telemetry, and platform services.
  • Move ideas from proof of concept to production impact and measure the results.
  • Solve complex problems across the AI and agent stack, from root-cause analysis to durable fixes.

Requirements

  • Proficiency in Python and at least one additional language: Golang, Java, or C/C++.
  • Experience building or driving an AI capability into a product with demonstrable impact, or completing a substantial AI project end to end.
  • Ability to move quickly from an idea to a working proof of concept and iterate on it.
  • Hands-on experience with AI coding agents, including Claude Code, beyond casual prompting.
  • Experience with AI agent design, multi-agent systems, context engineering, harness engineering, and skill or tool design.
  • Ability to evaluate LLM output quality, correctness, hallucinations, and subtle failure modes.

Nice to have

  • Agentic platform design and retrieval or memory layers around LLMs.
  • Supervised fine-tuning of language models.
  • NVIDIA technologies such as CUDA, NeMo, Triton, or TensorRT.
  • AI token optimization at very large scale and AI infrastructure or developer tools at company scale.
  • Cloud platforms, Docker/Kubernetes, and Terraform.

Culture & Benefits

  • Work on AI projects for cybersecurity products used across clouds, networks, devices, and endpoints.
  • Fast-moving environment focused on experimentation, shipping, and continuous learning.
  • Cross-functional collaboration with proactive and reliable teammates.
  • Opportunity to help drive AI-native development adoption across an engineering organization.

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