GenAI Software Engineer - Node.js & LLMs

We are looking for a highly skilled Software Engineer with strong expertise in Node.js, Generative AI, and modern AI application development to support enterprise Business Platforms and Risk & Compliance initiatives.The ideal candidate will have hands-on experience building production-grade AI-powered applications and integrating Large Language Models (LLMs), APIs, and enterprise data sources. This role requires strong backend engineering capabilities, experience with GenAI frameworks and cloud-based AI services, and the ability to develop scalable, secure, and high-performance AI-enabled systems.The successful candidate will work closely with cross-functional engineering teams to design and develop intelligent applications that leverage modern AI technologies while adhering to enterprise-grade engineering standards.RequirementsKey ResponsibilitiesDesign, develop, and maintain scalable backend applications using Node.js and TypeScriptBuild production-grade AI-powered applications integrating LLMs, APIs, and enterprise data sourcesDevelop and maintain RESTful APIs using Express.jsDesign and implement AI workflows using modern GenAI frameworks and orchestration toolsIntegrate cloud-based AI services from Azure and AWS platformsBuild and optimize AI-enabled business applications for Risk & Compliance initiativesDevelop robust prompt engineering strategies for enterprise AI use casesImplement scalable data processing pipelines and AI integrationsCollaborate with product, engineering, and business teams to deliver AI-driven solutionsParticipate in code reviews and contribute to engineering best practices and architecture discussionsTroubleshoot and optimize application performance, scalability, and reliabilityEnsure adherence to software engineering, security, and coding standardsRequired Technical SkillsBackend TechnologiesNode.jsTypeScriptExpress.jsDatabasesPostgreSQLMongoDBRedisVector DatabasesTesting FrameworksPlaywrightJestCloud PlatformsMicrosoft AzureAmazon Web Services (AWS)AI Platforms & ServicesAzure OpenAIOpenAI APIAWS BedrockAI Frameworks & IntegrationsLangChainLangGraphPrompt EngineeringLLM IntegrationsAI Model OrchestrationAPI IntegrationsRequired GenAI ExpertiseCandidates should have hands-on experience with:Building production-grade Generative AI applicationsIntegrating Large Language Models (LLMs) with enterprise applicationsDeveloping AI-powered workflows using LangChain and LangGraphWorking with vector databases for semantic search and Retrieval-Augmented Generation (RAG) use casesPrompt engineering techniques for enterprise AI applicationsDesigning scalable and secure AI-enabled systemsRequired Technical CompetenciesStrong understanding of RESTful API design principlesExperience developing scalable and secure backend architecturesStrong understanding of distributed systems and modern software engineering practicesExperience working with production-grade AI and cloud-native applicationsFamiliarity with CI/CD and modern development workflowsExcellent debugging, problem-solving, and performance optimization skillsRequired Academic KnowledgeCandidates should possess a good understanding of:Linear AlgebraProbabilityStatisticsThese concepts are essential for understanding modern AI and machine learning systems and their practical enterprise applications.Preferred ExperienceEnterprise AI application developmentRisk & Compliance platformsBusiness platform engineeringCloud-native architecturesLarge-scale backend systemsModern AI and LLM ecosystemsRequired CompetenciesStrong analytical and problem-solving skillsExcellent communication and stakeholder management capabilitiesAbility to work effectively in Agile and cross-functional teamsStrong ownership mindset and delivery excellenceQuick learner with a passion for modern AI technologies and continuous innovationAbility to adapt to evolving business and technical requirementsPreferred Domain ExperienceBankingFinancial ServicesRisk & Compliance PlatformsEnterprise Business Applications