Job Details:

Job Description: 

The ideal candidate is hands-on with AI systems engineering, has experience integrating multiple models and runtimes, and is passionate about building secure, scalable, and efficient AI solutions that power next-generation agentic applications.

Responsibilities: -

• Hybrid AI Agent Development: Architect, build, and optimize AI agents that run seamlessly across device and cloud environments.
• MCP Service Integration: Leverage and extend MCP services to enable flexible orchestration, tool integration, and agent coordination.
• Agentic Routing and Planning: Implement routing logic and reasoning strategies to improve decision-making and planning across multi-agent and multi-model systems.
• Model Runtime Engineering: Work with different model runtimes, frameworks, and backends to maximize performance.
• Security and Compliance: Ensure model safety, sandboxing, data governance, and secure execution across device and cloud.
• Optimization: Apply techniques like model quantization, pruning, distillation, and caching for efficiency across diverse environments.
• Technical Evangelism: Contribute to best practices, design patterns, and technical documentation to support broader adoption of hybrid AI agent architectures.

Qualifications:

• 5+ years hands-on experience on 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.
• Proven experience building custom AI tools, agents, or apps for real-world use cases.
• Strong Python or C++ skills.
• Excellent problem-solving skills with a results-driven, customer-focused mindset.
• Familiarity with client AI tools, cross-platform agents, or plugin ecosystems.

Preferred skills: -

• Experience with RAG pipelines, vector databases (e.g.,FAISS, Chroma), and embedding techniques.
• Experience optimizing GenAI workloads for edge devices using xPU accelerators.
• Experience with local LLMs (e.g., Mistral, Llama) or fine-tuning open-source models.
• Experience in customer/partner support for GenAI workflow design and deployment.
• Experience with frameworks such as LangChain, LlamaIndex, AutoGen, HuggingFace, and other APIs.
• Experience in UX/UI or prompt engineering to improve human-AI interaction.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Malaysia)

Primary Location: 

Malaysia, Penang

Additional Locations:

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.