4 дня назад
(Sr.) Applied AI Engineer (Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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