Job Description

. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the Experience in creating GenAI applications such as answering engines, extraction components, and content authoring Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques Skilled in creating prompts that efficiently guide LLMs to generate outputs meeting business requirements Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time. Must Have Skills: Python, AWS/Azure, Data Science, Gen AI tools (Azure Open AI, Langchain, vector DB), Software Engineering Good to Have : DevOps, CI/CD, Kubernetes. Product development Experience Perks & Benefits: Considering applying? To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.