GCP Python Gen AI LLM RAG Vertex AI

Role Overview: You will be joining the NTT DATA team in Hyderabad, Telangana, India as a GCP Python Gen AI LLM RAG Vertex AI. To be considered for this role, you should have a minimum of 4 years of Software Engineering experience or equivalent. Your expertise will be vital in delivering products using cloud services and architectures at scale. Key Responsibilities: - Possess a minimum of 2 years of experience with GCP (Google Cloud Platform) or alternate public/hybrid cloud, demonstrating a track record of successful product delivery using cloud services. - Demonstrate at least 2 years of experience with Python and 3 years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. - Required experience with Playbooks, Vertex AI, ADK, and Voice AI. Knowledge of LangChain and/or LangGraph is a plus. - Preferred candidates will have 4+ years of Contact Center industry experience, including design, development, testing, integration, and familiarity with IVR/IVA, NLU/NLP, Real-Time Omni channel Agent experience, customer journey, and CX/AX optimization using AI/ML. - Proficiency in Node JS, JAVA, Spring Boot, Kafka, Distributed Caches, Elastic Search technologies, GraphQL, and NoSQL Databases is beneficial. - Experience with Graph Databases and Public Cloud Marketplace services is advantageous. - Desired experience in Domain Driven Design with cloud-native Microservices designed for massive scale and seamless resiliency, preferably deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies. Qualifications Required: - Minimum of 4 years of Software Engineering experience or equivalent. - At least 2 years of experience with GCP (Google Cloud Platform) or alternate public/hybrid cloud. - Minimum of 2 years of experience with Python and 3 years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. - Experience with Playbooks, Vertex AI, ADK, and Voice AI. - Knowledge of LangChain and/or LangGraph is considered a plus. - Preferred candidates will have 4+ years of Contact Center industry experience including design, development, testing, integration, and familiarity with IVR/IVA, NLU/NLP, Real-Time Omni channel Agent experience, customer journey, and CX/AX optimization using AI/ML. - Proficiency in Node JS, JAVA, Spring Boot, Kafka, Distributed Caches, Elastic Search technologies, GraphQL, and NoSQL Databases. - Experience with Graph Databases and Public Cloud Marketplace services is a plus. - Deep Domain Driven Design experience with cloud-native Microservices designed for massive scale and seamless resiliency, preferably deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies.,