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4 дня назад

GenAI Software Solutions Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

GenAI Software Solutions Engineer (AI): Designing and building generative AI agents and platforms leveraging local and cloud-based LLMs with an accent on agent orchestration and system-level optimization. Focus on developing hirify.globalligent reasoning and automation tools, integrating RAG workflows, and translating AI logic into production-quality software.

Location: Hybrid in Penang, Malaysia

Company

hirify.global is a global leader in semiconductor design and computing, driving business strategy and product development for PC products and platforms.

What you will do

  • Design and build generative AI agents and platforms using local and cloud-based LLMs.
  • Develop AI-powered products enabling hirify.globalligent reasoning, automation, and human-AI interaction.
  • Implement agent orchestration, tool usage, and retrieval-augmented workflows (RAG).
  • Translate AI logic and data pipelines into production-quality software using modern programming practices.
  • Handle end-to-end development including implementation, testing, debugging, and deployment of AI services.
  • Collaborate with stakeholders to define requirements and deliver impactful AI solutions.

Requirements

  • Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or a related field.
  • Experience level: Fresh graduates or candidates with less than 2 years of working experience.
  • Basic understanding of generative AI and large language models (LLMs).
  • Programming experience in Python and/or C/C++.
  • Exposure to local LLMs (e.g., Llama, Mistral) or cloud-based LLM APIs.
  • Location: Must be based in or able to work in Penang, Malaysia (Hybrid).

Nice to have

  • Experience with frameworks such as LangChain, LlamaIndex, AutoGen, or Hugging Face.
  • Knowledge of Retrieval-Augmented Generation (RAG) and vector databases (e.g., FAISS, Chroma).
  • Experience with prompt engineering and UX/UI considerations for human-AI interaction.
  • Familiarity with deploying, scaling, and optimizing AI agent platforms.

Culture & Benefits

  • Hybrid work model allowing employees to split time between on-site and off-site work.
  • Opportunity to work within the Client Computing Group (CCG) on next-generation PC products.
  • Commitment to ethical hiring practices and RBA compliance.

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