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Manager, AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
China
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
Manager, AI Engineer (Python/GenAI): Building and integrating AI, machine-learning, and GenAI/RAG solutions for business applications and workflows with an accent on APIs, data pipelines, cloud AI services, and secure deployment. Focus on developing LLM applications, optimizing model performance and cost, and implementing reliable solutions across environments.

Location: Hunghom, Kowloon, Hong Kong

Company

hirify.global provides financial security and health-focused services for individuals, families, and communities worldwide.

What you will do

  • Develop AI and machine-learning solutions for business initiatives, automation workflows, and GenAI/RAG components.
  • Build and integrate REST APIs, data-processing pipelines, and cloud-based AI services.
  • Translate product and business requirements into functional AI solutions with product owners and engineering teams.
  • Design, develop, test, deploy, and maintain software applications and system components.
  • Optimize model performance, reliability, and cost through testing, tuning, monitoring, and troubleshooting.
  • Apply secure coding, quality, governance, and deployment standards across environments.

Requirements

  • Over 6 years of professional experience, including at least 2 years in machine learning or AI and 1 year focused on generative AI.
  • Bachelor’s degree in Information Technology, Computer Science, or a related field.
  • Hands-on experience with Python, Java, REST APIs, FastAPI, Flask, or similar technologies.
  • Experience with LLMs and generative AI applications, including prompt engineering and frameworks such as LangChain, LangGraph, and n8n.
  • Knowledge of PostgreSQL, Cosmos DB, AWS services including SageMaker and Bedrock, Docker, and Kubernetes.
  • Ability to collaborate with product owners, architects, QA, DevOps, and business stakeholders and participate in agile ceremonies.

Culture & Benefits

  • Collaborative environment with experienced colleagues and supportive leaders.
  • Opportunities for professional growth, knowledge sharing, and contribution to meaningful client outcomes.
  • Work includes documentation, demos, internal sessions, and participation in technical communities.

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