Machine Learning Engineer - Agentic AI

Apple • Sunnyvale, CA

7d

About The Position

The VCV organization develops human-centric, real-time technologies and integrates large language models and other advanced AI techniques to improve the autonomy and intelligence of its agentic systems. The Machine Learning Engineer will design and build end-to-end agentic systems that integrate LLMs, tools, and data systems to execute multi-step workflows in production. The role works across the full stack to turn complex problems into reliable, scalable systems.

The position involves designing and implementing LLM-based agentic systems that extend beyond traditional machine-learning pipelines. It requires evaluating tradeoffs among latency, cost, accuracy, and controllability, including choosing between deterministic pipelines and adaptive, LLM-driven approaches.

Requirements

• Bachelor’s degree.
• Proven knowledge of cutting-edge agentic systems.
• Demonstrated experience designing and shipping agentic systems in production environments.
• Strong proficiency with LLM-assisted coding, including using AI tools to design, implement, and iterate on complex systems.

Nice To Haves

• Strong system design experience, including defining and evolving architecture for complex, multi-component systems.
• Experience taking products from concept to launch, including delivering user-facing applications at scale or in real-world environments.

Responsibilities

• Design and implement agentic systems built around large language models.
• Build end-to-end systems that integrate LLMs, tools, and data systems to execute multi-step workflows in production environments.
• Translate complex problems into reliable, scalable systems across the full stack.
• Evaluate tradeoffs among latency, cost, accuracy, and controllability when designing agentic systems.
• Choose between deterministic pipelines and adaptive, LLM-driven approaches as appropriate.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level