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.

Enrollment in 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 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.
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.

AI Software Engineering Intern

Key skills