5 days ago
Remote, India +3 moreStaff+
Responsibilities
- Design and build production-grade applications and industry solutions on Genesys Cloud using 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.
- Build reusable Digital Teammates, AI agents, workflows, solution accelerators, and multi-agent applications that can be deployed across customers.
- Integrate Genesys Cloud with enterprise systems such as Salesforce, ServiceNow, Microsoft platforms, AWS, CRM, ITSM, ERP, healthcare, financial services, knowledge, and workflow platforms.
- Design conversational and agentic AI applications using LLMs, enterprise knowledge, tool and API calling, orchestration, business rules, and systems of record.
- Translate industry-specific business processes and customer use cases into scalable, productized applications across multiple industries.
- Build prototypes and MVPs, then take successful concepts through production deployment and operation.
- Design for enterprise-scale security, reliability, observability, scalability, performance, compliance, and governance.
- Provide technical leadership, architecture guidance, code reviews, mentorship, debugging, implementation, and hands-on software contribution.
- Collaborate with Product, Engineering, Innovations, industry experts, customers, and partners to identify and deliver repeatable solutions.
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.
- Hands-on enterprise application development experience with Python, JavaScript/TypeScript, Java, or similar programming languages.
- 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, enterprise integrations, and production deployment.
- 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, and Microsoft Dynamics.
- Preferred experience with Genesys Cloud CX voice and digital channels, industry-specific applications, solution accelerators, innovation teams, rapid prototyping, and customer co-creation programs.
Benefits
- Flexible-first culture with flexible ways of working.
- 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.
- Global workplace recognized as Great Place to Work certified in 17 countries.
- Interview process generally includes no more than five interviews, with application review by a person.
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.