The additive manufacturing process has immense possibilities within aero-space, automobile, medical, and many other sectors. Additive manufacturing is the process of building parts layer by layer. There have been numerous experiments conducted on different additive manufacturing processes and materials. Each process has various parameters that influence the product produced. So, it is necessary to select the proper set of parameters to obtain the required output. Austenitic stainless steel has combined properties like corrosion resistance, ductility, strength, and weldability. This kind of material is used within applications such as aerospace components. There are different grades of austenitic stainless steels that have applications in various sectors depending on their properties. For example, 316L, 304L, 21-6-9, JBK-75, are some of them used in aerospace parts. To implement the additive manufacturing process for this grade experiments have been taking place to find suitable process parameters so that the output product will have the required properties. This thesis work is mainly concentrated on finding the suitable process parameters to build JBK-75 stainless steel using the laser powder bed fusion process. JBK-75 stainless steel is our interest because it is a modified version of A-286 stainless steel, it is strengthened by precipitation of gamma prime, which gives it a high strength like nickel-based superalloy. For this experiment the build was mainly divided into two sets based on layer thickness i.e., 30µm and 60µm and laser power (200 ± 50W), laser velocity (750 ± 150mm/sec) and hatch distance (0.12 ± 0.02mm) were varied. The results obtained to optimize the parameters are surface roughness, defect density, melt pool width and depth, grain size, and hardness. The results obtained show that sample build with less energy density has less defect density. The gains were an elongated columnar shape, and they were parallel to build direction. Among the samples built and results analysed sample 9 showed the best results when compared to the remaining samples.