Posted:
2/9/2026, 11:32:29 AM
Location(s):
Penang, Malaysia
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
Workplace Type:
Hybrid
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 & 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 & 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.
Hands-on experience on AI/ML algorithm development
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.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.*
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.Website: https://www.intel.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1968
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Artificial Intelligence (AI) ⋅ Information Technology ⋅ Product Design ⋅ Semiconductor ⋅ Software