The growing dependence on digital platforms for job applications has exposed major limitations in traditional resume builders and career tools, which largely rely on static keyword-matching and fail to deliver personalised guidance. This study introduces the Next-Gen AI Resume Optimiser and Career Guidance System, developed to intelligently parse resumes, detect skill gaps, and offer actionable feedback for professional growth. The system employs a Retrieval- Augmented Generation (RAG) architecture using Google's Gemini 1.5 Flash model integrated with ChromaDB, ena- bling dynamic evaluation and contextual recommendations. It automates resume screening, assigns ATS-based rele- vance scores, and matches users to suitable job roles based on their skills, goals, and geographic context. Furthermore, the platform incorporates a multilingual chatbot for interactive career guidance, enabling users to receive real-time support on skill development and market alignment. Results demonstrate that this integrated approach improves re- sume visibility in Applicant Tracking Systems and enhances user readiness for evolving job markets.