Software Engineer

Overview In this role, you will lead the end-to-end design, development, and deployment of Python-based Gen AI solutions, including RAG architectures and conversational agents. You’ll architect scalable AI/ML workflows, manage model lifecycles from training to production, and integrate services across Multi-Cloud Platforms. You’ll build data pipelines connecting AI models to enterprise data sources such as Oracle databases, and apply strong software design practices to deliver high-performance, maintainable code. You’ll drive innovation in Gen AI for financial forecasting while collaborating with cross-functional teams in an Agile environment. ResponsibilitiesLead design, development, and deployment of Python and Gen AI solutions including RAG architectures and conversational agents (Claude)Architect scalable AI/ML workflows and end-to-end model lifecycle managementDevelop and integrate services with Multi-Cloud Platforms and on-premise systemsBuild robust data integration pipelines connecting AI models with enterprise data sources (Oracle)Apply software design patterns and Python best practices for modular, high-performance codeExplore and implement latest Gen AI advancements to advance financial forecastingCollaborate in Agile with cross-functional teams to translate business needs into AI featuresChampion performance optimization for AI solutions Key requirements2-5 years of relevant experienceExpertise in Python and Generative AIExperience with RAG architectures and conversational AIStrong data integration and ETL skillsFamiliarity with multi-cloud and on-premise architecturesKnowledge of Oracle databases and enterprise data sourcesExperience with model lifecycle management from training to productionAbility to translate business requirements into AI featuresStrong collaboration and adaptability in Agile environmentscollaborationproblem-solvingcommunicationPythonGenerative AIRAG (Retrieval-Augmented Generation)