Key skills
Genesys Cloud CX Professional CertificationGenesys Cloud Developer CertificationGenesys Cloud AI StudioDigital Bots DevelopmentKnowledge WorkbenchOptimizerPortalIntent MinerIntent ManagementGenesys Cloud APIsAgentic AI architecturesMulti-agent systemsTool-use agentsPrompt engineeringSystem prompt tuningRAG pipelinesVector databasesLLM integrationOpenAI GPTAnthropic ClaudeGoogle GeminiHugging FaceAI orchestrationReasoningAnomaly detectionHuman-in-the-loop escalationMCP frameworkGenerative AI applicationsPythonJavaScriptTypeScriptGoNode.jsReact.jsRESTful API designMicroservices architectureAWS BedrockAWS LambdaAWS ECSAWS S3AWS IAMAWS CloudFormationKubernetesDockerCI/CD pipelinesAutomated testingTerraformCloud-native AI application deploymentConversational AINatural Language UnderstandingOmnichannel customer journey orchestrationVoice AIMultimodal interfacesBot analyticsAI governanceFull-stack AI application developmentProduction troubleshootingAIMLGenerative AILLMOpenAIClaudeAnthropicGeminiRAGAgenticAnalyticsReactAWSECSCloudFormationLambdaS3IAMBedrockRESTfulPerformance OptimizationCI/CD
About this role
FUSTIS LLC is seeking a Genesys Cloud Engineer with expertise in Agentic AI and Generative AI, along with full-stack development skills. The role involves deploying cloud-native AI solutions for customer experience automation and requires hands-on experience with various Genesys Cloud technologies and programming languages.
Responsibilities:
- Hands-on experience with: Genesys Cloud AI Studio (AI Guides, Agentic Virtual Agents, Copilots)
- Digital Bots: Development, deployment, testing & optimization
- Knowledge Workbench, Optimizer, Portal
- Intent Miner / Intent Management
- Architect flow integration with bots & AIGenesys Cloud APIs & platform integrations
- Agentic AI architectures: Autonomous agents, multi-agent systems, tool-use agents
- Prompt engineering & system prompt tuning
- RAG pipelines & vector databases
- LLM integration: OpenAI GPT, Anthropic Claude, Google Gemini, Hugging Face
- AI orchestration, reasoning, anomaly detection & human-in-the-loop escalation
- Familiarity with MCP framework (Genesys agentic roles)
- Generative AI applications for CX automation
- Python (AI/ML scripting & backend)
- JavaScript / TypeScript (front-end & full-stack)
- Go (backend services for Genesys Innovation roles)
- Node.js + React.js
- RESTful API design & microservices architecture
- AWS services: Bedrock, Lambda, ECS, S3, IAM, CloudFormation
- Kubernetes & Docker (containerization & orchestration)
- CI/CD pipelines, automated testing, Terraform
- Cloud-native scalable AI application deployment
- Conversational AI / Natural Language Understanding (NLU)
- Omnichannel customer journey orchestration
- Voice AI & multimodal interfaces
- Bot insights, analytics & performance optimization
- Responsible AI / AI governance & compliance
- Full-stack AI application development on Genesys Cloud
- Integration of AI agents with Genesys Copilot & routing
- Production troubleshooting & optimization of agentic systems
Requirements:
- Genesys Cloud CX Professional Certification
- Genesys Cloud AI – Digital Bots & Knowledge Certification
- Genesys Cloud Developer Certification
- Hands-on experience with: Genesys Cloud AI Studio (AI Guides, Agentic Virtual Agents, Copilots)
- Digital Bots: Development, deployment, testing & optimization
- Knowledge Workbench, Optimizer, Portal
- Intent Miner / Intent Management
- Architect flow integration with bots & AI
- Genesys Cloud APIs & platform integrations
- Agentic AI architectures: Autonomous agents, multi-agent systems, tool-use agents
- Prompt engineering & system prompt tuning
- RAG pipelines & vector databases
- LLM integration: OpenAI GPT, Anthropic Claude, Google Gemini, Hugging Face
- AI orchestration, reasoning, anomaly detection & human-in-the-loop escalation
- Familiarity with MCP framework (Genesys agentic roles)
- Generative AI applications for CX automation
- Python (AI/ML scripting & backend)
- JavaScript / TypeScript (front-end & full-stack)
- Go (backend services for Genesys Innovation roles)
- Node.js + React.js
- RESTful API design & microservices architecture
- AWS services: Bedrock, Lambda, ECS, S3, IAM, CloudFormation
- Kubernetes & Docker (containerization & orchestration)
- CI/CD pipelines, automated testing, Terraform
- Cloud-native scalable AI application deployment
- Conversational AI / Natural Language Understanding (NLU)
- Omnichannel customer journey orchestration
- Voice AI & multimodal interfaces
- Bot insights, analytics & performance optimization
- Responsible AI / AI governance & compliance
- Full-stack AI application development on Genesys Cloud
- Integration of AI agents with Genesys Copilot & routing
- Production troubleshooting & optimization of agentic systems