The VCV organization has pioneered human-centric, real-time technologies such as Face ID, FaceKit, and gaze and hand gesture control, transforming how millions of people interact with their devices by balancing research and product requirements to deliver Apple-quality experiences through full-stack innovation and close collaboration across HW, SW, and AI teams. Our team develops and integrates large language models (LLMs) and other cutting-edge AI techniques to enhance the autonomy and intelligence of our agentic systems.\\n\\nWe are looking for an experienced engineer to design and build end-to-end agentic systems. This role focuses on developing systems that integrate large language models, tools, and data systems to execute multi-step workflows in production environments. You will work across the full stack to translate complex problems into reliable, scalable systems.
You will design and implement agentic systems built around large language models (LLMs) that extend beyond traditional machine learning pipelines. The work will require making tradeoffs between latency, cost, accuracy, and controllability, including decisions between deterministic pipelines and adaptive, LLM-driven approaches within agentic system design.
Proven knowledge of cutting-edge agentic systems. \nDemonstrated experience designing and shipping agentic systems in production environments.\nStrong proficiency with LLM-assisted coding, including using AI tools to design, implement, and iterate on complex systems.\nProven ability to design end-to-end systems, making architectural decisions across multiple components (e.g., services, data pipelines, integrations).
Demonstrated track record of building and shipping agentic or LLM-based products, with visible portfolio (e.g., apps, open-source projects), or recognized contributions such as publications in top-tier conferences or impactful technical work.\nExperience developing and deploying computer vision and machine learning (CVML) systems in production environments.\nStrong system design experience, including defining and evolving architecture for complex, multi-component systems.\nExperience taking products from concept to launch, including delivering user-facing applications at scale or in real-world environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 90a53058b8a2f821c278232d5dc5da55
- Posted 2 days ago
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