Ecosystem Technical Enabling Engineer

Job Details:

Job Description:

Join Intel's Technical Enablement Group (under Sales Marketing Group), Client ADC team as an AI Software Engineer. In this role, you will focus on the development and enablement of Agentic AI systems on AI PC platforms, supporting next generation client AI experiences.

You will work on building agentic AI workflows, setting up AI environments on AI PC platforms, experimenting with new AI models and applications, and enabling pretraining and task learning pipelines. This role emphasizes hands on engineering across AI infrastructure, system setup, and agent-oriented AI workloads.

Your work will contribute to agentic AI capability skill development for AI PC, with frameworks such as OpenClaw serving as representative internal implementations. The outcomes of your work will directly support Intel's client AI software ecosystem and future product readiness.

Key Responsibilities

• Set up and maintain AI development environments on AI PC platforms (OS, drivers, frameworks, toolchains).
• Develop and experiment with Agentic AI systems, including multi step reasoning, tool usage, memory, and task orchestration.
• Explore and integrate new AI models and applications relevant to AI PC usage scenarios.
• Support pretraining and fine-tuning methodologies, including data pipelines, training workflows, and model integration
• Implement AI coding tasks across infrastructure and application layers to enable agent-based workflows.
• Evaluate functionality, performance, and usability of agentic AI workloads on client platforms.
• Collaborate with cross functional teams on AI software enablement and HW/SW integration.
• Document experiments, design decisions, and best practices to support knowledge sharing and future scaling.

Qualifications:

Qualifications

Minimum Qualifications

• Master's degree program in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
• Strong background in AI / Deep Learning fundamentals, including neural network models and training concepts.
• Proficiency in Python, C++ programming.
• Experience with AI frameworks such as PyTorch and/or TensorFlow.
• Familiarity with LLM based workflows, AI agents, or task-oriented AI systems.
• Interest in AI systems development on client platforms / AI PC. Preferred Qualifications
• Experience with Agentic AI concepts, such as multi agent systems, tool calling, planning, memory, or workflow orchestration.
• Hands on experience with pretraining or fine-tuning large AI models.
• Familiarity with AI infrastructure frameworks or internal agent frameworks (e.g., openclaw).
• Understanding of system level concepts including performance, resource utilization, or deployment on local devices.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a collaborative, cross functional engineering environment.

Job Type:

College Grad

Shift:

Shift 1 (China)

Primary Location:

PRC, Shenzhen

Additional Locations:

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 require an on-site presence. * 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.