In the fast-paced world of cybersecurity, we often talk about defending against "man-in-the-middle" attacks—but what happens when the "bot-in-the-middle" is the one standing between you and your next career move? As AI-driven Applicant Tracking Systems (ATS) and Large Language Models (LLMs) become the primary gatekeepers of the hiring process, recent research reveals a sobering reality: these systems can inadvertently replicate or even amplify gender and age biases. This session is designed for women in tech who want to pull back the curtain on how AI recruitment tools actually see them. We will dive into the mechanics of algorithmic bias, identify the "red flag" formatting and language that can get a qualified resume auto-rejected, and provide actionable strategies to ensure your profile reaches a human recruiter. We’ll also flip the script by exploring how you can use the same AI technology to your advantage—optimizing your search without losing your authentic voice.