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AI Engineer, Playable Ads (AdTech)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Engineer, Playable Ads (AdTech): Building and operating scalable ML and generative AI pipelines for automated content creation in playable and video ads with an accent on productionizing research prototypes and multimodal generation. Focus on designing service contracts, optimizing latency and cost, and implementing agentic AI tools to improve creative quality.

Location: Taipei, Taiwan

Company

hirify.global is an AI-native Agentic AI as a Service (AaaS) company specializing in AdTech and MarTech solutions listed on the Tokyo Stock Exchange.

What you will do

  • Build and operate scalable ML and GenAI pipelines for automated content creation and personalization.
  • Productionize research prototypes into reliable services using API contracts and containerized workers.
  • Implement LLMs, VLMs, and multimodal generation to enhance ad creative quality.
  • Engineer robust workflows with schema validation, idempotency, and comprehensive testing.
  • Monitor and optimize key metrics including latency, failure rates, and generation costs.
  • Collaborate cross-functionally with scientists, engineers, and product managers to ship iterative improvements.

Requirements

  • Bachelor's or Master's degree in CS, ML, Electrical Engineering, or equivalent experience.
  • 3+ years of experience building production software or ML systems with maintainable code.
  • Proficiency in Python and hands-on experience with PyTorch or TensorFlow.
  • Experience deploying models to production using APIs, containers, and cloud infrastructure.
  • Knowledge of Docker, Kubernetes, GCP, CI/CD, and workflow orchestrators.
  • Strong debugging skills and understanding of distributed systems such as queues and workers.

Nice to have

  • Experience with generative media, AdTech, MarTech, or recommendation systems.
  • Hands-on experience with RAG, agent frameworks, or multimodal systems (image/video generation).
  • Experience designing feedback-loop pipelines and conducting online experiments.

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