The aim of this paper is to design a novel Very Low Drag (VLD), 6.5 mm Creedmoor–caliber bullet, not yet implemented in practice, optimized for aerodynamics and ballistic coefficient (BC) using an evolutionary algorithm. The research is inspired by the ever-increasing demand for high-precision sniper ammunition with an effective range. The study used geometrical data from commercially available bullets and implemented a realistic aerodynamic model. The optimization process was carried out in Python and involved adjustments to the bullets key dimensions, while maintaining compliance with technical requirements and safety standards. As a result of the simulations, the effectiveness of the algorithm was demonstrated in obtaining a bullet design with more favorable aerodynamic parameters compared to existing bullets on the market from reputable arms companies, achieving an improvement in the aerodynamic drag coefficient by up to 20%. These results confirm the strong potential of evolutionary algorithms in ammunition design and suggest further research directions that account for the characteristics of specific firearms.