GenAI Software Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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 ligent reasoning and automation tools, integrating RAG workflows, and translating AI logic into production-quality software.
Location: Hybrid in Penang, Malaysia
Company
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 ligent 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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