20 hours ago
Chennai, India +2 moreStaff+
Responsibilities
- Design and build production-grade applications and industry solutions on Genesys Cloud using its APIs, SDKs, events, integrations, AI capabilities, and platform services.
- Develop AI-powered customer and employee applications, including AI Studio solutions, virtual agents, copilots, Architect flows, knowledge experiences, and Experience Orchestration patterns.
- Build reusable industry solution accelerators, Digital Teammates, AI agents, workflows, and application components for deployment across multiple customers.
- Create integrations using Genesys Cloud Platform APIs, Data Actions, event-driven architectures, webhooks, external APIs, and enterprise platforms.
- Design agentic applications that combine LLMs, enterprise knowledge, tool and API calling, workflow orchestration, business rules, and systems of record.
- Translate industry-specific business processes and customer challenges into scalable, productized AI solutions.
- Take prototypes and MVPs through production deployment and operation while addressing security, reliability, observability, scalability, performance, compliance, and governance.
- Provide technical leadership, architecture guidance, code reviews, mentorship, debugging, implementation, and customer or executive demonstrations.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical discipline.
- 10+ years of software engineering, application development, or solution architecture experience.
- 5+ years of hands-on Genesys Cloud experience designing, developing, integrating, and deploying applications on the platform.
- Deep knowledge of Genesys Cloud architecture, APIs, Architect, routing, conversations, integrations, Data Actions, and event-driven capabilities.
- Strong hands-on experience with modern programming languages such as Python, JavaScript/TypeScript, Java, or similar technologies.
- Experience building AI-powered applications, conversational AI solutions, virtual agents, or agentic applications using enterprise AI platforms.
- Strong understanding of LLMs, RAG, AI agents, tool calling, orchestration, multi-agent systems, conversational AI, and agentic workflows.
- Experience building reusable enterprise or industry solutions and translating complex business processes into technical architectures and production applications.
- Experience with REST APIs, SDKs, webhooks, event streams, microservices, cloud-native architectures, and enterprise application integrations.
- Preferred experience with Genesys Cloud AI capabilities, Cognigy, Sierra, Decagon, Kore.ai, LangChain, Semantic Kernel, AutoGen, CrewAI, AWS, Azure, Google Cloud, Amazon Bedrock, Salesforce, ServiceNow, Microsoft Dynamics, and Genesys Cloud voice and digital channels.
- Experience with industry-specific applications or solution accelerators, innovation teams, rapid prototyping, customer co-creation, and taking AI applications from prototype through enterprise production.
Benefits
- Flexible-first culture with flexible ways of working; the posting is marked hybrid.
- Mentorship, learning programs, leadership development, and education support.
- Paid volunteer time, August Free Fridays, well-being resources, and regionally tailored programs for employees and families.
- Opportunity to build AI technology used by more than 8,000 organizations worldwide and develop future-ready AI skills.
Tech Stack
Categories
About Genesys
Genesys builds cloud contact center and customer experience software used by enterprises to manage voice and digital interactions, self-service, and workforce engagement. Its Genesys Cloud platform and related tools are sold as subscription services (CCaaS) with AI for routing, automation, and analytics. The company serves more than 8,000 organizations worldwide and is headquartered in Menlo Park, California.