LinkedIn’s Hiring Assistant is designed to streamline the recruiting process by automating repetitive tasks, allowing recruiters to focus on building relationships and making strategic decisions. The system tackles three main areas: sourcing candidates from LinkedIn's vast network of over 1.2 billion profiles, evaluating resumes and profiles for role compatibility, and maintaining communication with potential hires. By handling these labor-intensive tasks, the AI assistant helps recruiters save time and effort. The architecture of the Hiring Assistant employs a "plan-and-execute" model. Instead of processing tasks in a single, continuous loop, which can lead to errors, LinkedIn divides the workload into two phases. The Planner assesses requests and breaks them down into manageable steps, while the Executor carries out these tasks sequentially. This approach enhances reliability, improves cost management by using different AI models for varying task complexities, and increases the likelihood of successful outcomes. The assistant operates in two modes. In Interactive Mode, recruiters collaborate with the AI to refine job requirements and receive immediate feedback, fostering transparency and trust. Once aligned, the system transitions to Asynchronous Mode, where it autonomously searches and evaluates candidates without requiring constant oversight. This capability allows the assistant to analyze thousands of profiles overnight, significantly reducing the time needed for candidate sourcing. Despite the automation, recruiters retain control over final hiring decisions, ensuring a balance between efficiency and human judgment.