Senior Generative AI Developer

Overview In this Senior role, you will design and implement cutting-edge AI solutions using Retrieval-Augmented Generation (RAG) to power enterprise-scale platforms. You’ll shape scalable architectures and robust APIs, collaborating with cross-functional teams to integrate AI into existing systems. You’ll optimize data pipelines, model performance, and cloud deployment practices across AWS, Azure, or GCP. This position offers the chance to impact how large-scale AI is delivered and operated in production. You will work in a fast-paced environment where staying ahead of generative AI advances matters. ResponsibilitiesArchitect and develop Generative AI applications using RAG frameworks for enterprise-scale solutionsDesign scalable system architectures with security and performance in mindBuild and optimize APIs using FastAPI for model and data pipelinesCollaborate with cross-functional teams to integrate AI into existing systemsImplement data ingestion, preprocessing, and retrieval for large knowledge basesEnsure best practices for cloud deployment on AWS/Azure/GCPTune performance of AI models and APIsStay updated on Generative AI, LLMs, and RAG methodologies Key requirements8+ years of professional software development and system design experienceStrong Python proficiency and FastAPI experienceHands-on experience with Generative AI frameworks and RAG architecturesSolid understanding of distributed system design principlesExperience deploying solutions on AWS, Azure, or GCPFamiliarity with vector databases, embedding models, and retrieval pipelinesproblem-solvingability to work in a fast-paced environmentcross-functional collaborationPythonFastAPIGenerative AI frameworks