The Generative AI, Conversational AI u0026 Integration Engineer/Developer is responsible for delivering end-to-end application development, AI solution design, systems integration, cloud infrastructure management, operational support, and continuous improvement across a large-scale enterprise technology ecosystem. This role supports the full lifecycle of digital solutions, including projects, service requests, enhancements, maintenance, and ongoing operational support.nnnThe ideal candidate combines expertise in Generative AI, Conversational AI, cloud technologies, API integrations, and enterprise application support while driving innovation, operational excellence, and strategic technology advancement. This position is responsible for developing, integrating, supporting, and evolving AI-driven and enterprise technology solutions that enable business growth and operational efficiency.nnnRoles and Responsibilities :nGenerative AI, Conversational AI u0026 IntegrationnnDesign, develop, implement, and support Generative AI and Conversational AI solutions.nBuild and maintain intelligent virtual assistants (IVAs), chatbots, copilots, and AI-powered customer experiences.nDevelop conversational experiences using Google DialogflowCX, Google Conversational Agent and related technologies.nIntegrate Large Language Models (LLMs), AI orchestration frameworks, and enterprise AI services into business applications.nDevelop and maintain web services, APIs, and enterprise integrations.nSupport Media Gateway technologies and related integrations.nnCloud u0026 Infrastructure ManagementnnAdminister and support Google Cloud Platform (GCP)



environments.nManage compute resources, servers, environments, and cloud-based services.nEnsure system performance, scalability, reliability, and security.nnQuality Assurance, Security u0026 Operational SupportnnSupport remediation activities from security audits.nConduct quality assurance testing to ensure solution quality and compliance.nProvide ongoing maintenance and operational support for enterprise applications and AI platforms.nSupport platform administration and application operations.nTroubleshoot and resolve production issues while collaborating across technical teams.nnApplication Development u0026 Lifecycle ManagementnnSupport projects, service requests, enhancements, and operational initiatives.nDeliver solutions throughout the full software development lifecycle, including requirements, design, development, testing, deployment, and support.nCollaborate with business stakeholders, architects, and technical teams to deliver scalable solutions.nContinuously improve platform stability, performance, and user experience.nnInnovation u0026 Continuous ImprovementnnResearch, evaluate,



and prototype emerging AI technologies and integration patterns.nAdvance Generative AI and Conversational AI capabilities through innovation and experimentation.nRecommend modern architecture, integration frameworks, and development best practices.nIdentify opportunities to improve operational efficiency, automation, scalability, and customer engagement.nContribute to long-term technology roadmaps and strategic initiatives.nParticipate in cross-training initiatives to expand team capabilities and reduce knowledge silos.nExperience designing, developing, and supporting Generative AI and Conversational AI solutions.nExperience with LLMs, prompt engineering, retrieval-augmented generation (RAG), AI orchestration frameworks, or related technologies.nExperience with Google DialogflowCX and Conversational Agent or other conversational AI platforms.nExperienced in using Docker and Kubernetes to containerize applications, orchestrate microservices, automate deployments, and maintain scalable, highly available cloud-based production environments.nStrong knowledge of REST APIs, web services, and enterprise integration patterns.nExperience with Google Cloud Platform (GCP) infrastructure and administration.nExperience with Elasticsearch and Kibana for log aggregation, search optimization, monitoring, and troubleshooting distributed applications is a plusnKnowledge of QA methodologies and complex testing practices.nStrong analytical, troubleshooting, and problem-solving skills.nAbility to manage multiple priorities and competing workloads in a rapid-paced environment.nExcellent communication, collaboration, and stakeholder management skills.nnKey CompetenciesnnGenerative AI Solution DevelopmentnConversational AI and .

📌 AI Systems Engineer (Hyderabad)
🏢 Convergeone India
📍 Hyderabad