Senior GenAI Software Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior GenAI Software Solutions Engineer (AI): Architecting and optimizing hybrid AI agents for device and cloud environments with an accent on model orchestration, performance tuning, and secure execution. Focus on implementing advanced routing logic, model quantization, and scalable AI solutions within the Client Computing Group.
Location: Must be based in Penang, Malaysia (Hybrid work model).
Company
is a global leader in computing technology, driving innovation in PC platforms and next-generation AI experiences.
What you will do
- Architect and optimize AI agents for seamless operation across device and cloud environments.
- Extend MCP services to enable flexible orchestration and tool integration.
- Implement routing logic and reasoning strategies for multi-agent and multi-model systems.
- Apply optimization techniques like quantization, pruning, and distillation for efficiency.
- Ensure model safety, data governance, and secure execution.
- Contribute to best practices and technical documentation for hybrid AI architectures.
Requirements
- 5+ years of experience in AI/ML algorithm development.
- 2+ years of hands-on experience in NLP, LLM-based systems, or AI agent development.
- Deep expertise in GenAI algorithms, solution architecture, and performance tuning.
- Strong proficiency in Python or C++.
- Must be based in or able to work on-site in Penang, Malaysia.
- Excellent problem-solving skills with a customer-focused mindset.
Nice to have
- Experience with RAG pipelines, vector databases, and embedding techniques.
- Experience optimizing GenAI workloads for edge devices using xPU accelerators.
- Familiarity with local LLMs and fine-tuning open-source models.
- Experience with frameworks such as LangChain, LlamaIndex, AutoGen, and HuggingFace.
- Knowledge of UX/UI or prompt engineering for human-AI interaction.
Culture & Benefits
- Hybrid work model allowing flexibility between on-site and off-site work.
- Opportunity to work on cutting-edge AI hardware and software integration.
- Commitment to ethical hiring practices and RBA compliance.
- Collaborative environment within the Client Computing Group.
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