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): Architect, build, and optimize hybrid AI agents across device and cloud environments with an accent on orchestration, multi-agent coordination, and model runtime engineering. Focus on implementing routing logic, security compliance, and optimization techniques like quantization, pruning, and distillation for scalable agentic applications.
Location: Hybrid in Penang, Malaysia (split time on-site at site and off-site)
Company
's Client Computing Group driving business strategy and product development for PC products and platforms including notebooks, desktops, and 2-in-1s.
What you will do
- Architect, build, and optimize AI agents running across device and cloud environments.
- Leverage and extend MCP services for orchestration, tool integration, and agent coordination.
- Implement routing logic and reasoning strategies for multi-agent and multi-model systems.
- Engineer model runtimes, frameworks, and backends to maximize performance.
- Ensure model safety, sandboxing, data governance, and secure execution.
- Apply optimization techniques like quantization, pruning, distillation, and caching.
- Contribute to best practices, design patterns, and technical documentation.
Requirements
- 5+ years hands-on experience in AI/ML algorithm development
- 2+ years hands-on in NLP, LLM-based systems, or AI agent development
- Deep expertise in GenAI algorithms, solution architecture, and performance tuning.
- Proven experience building custom AI tools, agents, or apps for real-world use cases.
- Strong Python or C++ skills.
- Excellent problem-solving skills with results-driven, customer-focused mindset.
- Familiarity with client AI tools, cross-platform agents, or plugin ecosystems.
Nice to have
- Experience with RAG pipelines, vector databases (FAISS, Chroma), and embedding techniques.
- Optimizing GenAI workloads for edge devices using xPU accelerators.
- Local LLMs (Mistral, Llama) or fine-tuning open-source models.
- Customer/partner support for GenAI workflow design and deployment.
- Frameworks like LangChain, LlamaIndex, AutoGen, HuggingFace, and other APIs.
- UX/UI or prompt engineering for human-AI interaction.
Culture & Benefits
- Hybrid work model splitting time between on-site at assigned site and off-site.
- Commitment to Responsible Business Alliance (RBA) compliance and ethical hiring.
- Equal opportunity employer without discrimination based on protected characteristics.
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