Job Overview
Location
India - Pune
Job Type
Full-time
Category
Software Engineering
Date Posted
May 25, 2026
Full Job Description
đź“‹ Description
- • Configure, customize, and deploy Conversational AI solutions within the NICE CXone ecosystem based on defined business and technical requirements.
- • Build and maintain integrations using REST APIs, modern web technologies, and authentication standards such as OAuth2, OIDC, and SAML.
- • Implement, enhance, and optimize bot behaviors using conversational design principles and prompt engineering techniques.
- • Develop proofs of concept (PoCs) and production-ready solution components for customer-facing AI-driven applications.
- • Support testing, validation, and go-live activities to ensure solutions function correctly across diverse customer environments.
- • Diagnose and resolve complex technical issues across SaaS applications, integrations, data flows, and system environments.
- • Adapt, extend, or refactor existing integrations and solution components to meet evolving customer needs and changing requirements.
- • Ensure all implementations adhere to quality, performance, security, and usability standards.
- • Produce comprehensive documentation including technical specifications, test cases, deployment guides, and operational runbooks.
- • Collaborate closely with Implementation Engineers, Consultants, and Project Managers during discovery, design, and delivery phases.
- • Participate in customer workshops to clarify technical feasibility, validate solution approaches, and provide subject-matter expertise.
- • Maintain clear, consistent communication across cross-functional delivery teams to align on technical execution and timelines.
- • Work in US shift hours (5 PM – 2 AM IST) to support global customer delivery and collaboration.
- • Interpret API documentation to implement integrations, troubleshoot connectivity issues, and validate data exchange patterns.
- • Apply front-end fundamentals including HTML/CSS to support UI-related components in conversational interfaces.
- • Understand browser and web security standards such as CORS and X-Frame Options to secure integrations and deployments.
- • Demonstrate strong conversational UX knowledge and experience with AI-driven interfaces.
- • Author detailed design documents, functional requirements, test use cases, and deployment materials to support end-to-end implementation.
🎯 Requirements
- • Bachelor’s degree in a technical or business field (e.g., Computer Science, Information Systems, Electrical Engineering) or equivalent work experience.
- • 8+ years of professional experience, with 1+ years in digital channels or AI/Bot software applications preferred.
- • Strong proficiency in JavaScript; Python familiarity is a plus.
- • Solid understanding of REST API integration patterns, modern authentication (OAuth2, OIDC, SAML), and web security standards (CORS, X Frame Options).
- • Ability to interpret API documentation, implement PoCs, and troubleshoot integrations.
- • Strong understanding of conversational UX, AI-driven interfaces, and prompt engineering techniques.
- • Willingness to work in US shift (5 PM – 2 AM IST).
🏖️ Benefits
- • Hybrid work model (NiCE-FLEX): 2 days in-office, 3 days remote per week.
- • Opportunity to work with global clients including 85 of the Fortune 100 corporations.
- • Exposure to cutting-edge AI and Conversational AI technologies within the NICE CXone ecosystem.
- • Access to internal career growth opportunities across roles, disciplines, and locations.
Skills & Technologies
About NICE Ltd.
NICE Ltd. is an Israeli-headquartered global enterprise software company that provides cloud platforms for customer engagement, workforce optimization, financial crime and compliance, and advanced analytics. Founded in 1986, it serves contact centers, financial institutions, and public safety organizations with solutions for recording, analytics, robotic process automation, and AI-driven insights. The company operates worldwide, with major offices in the United States, Europe, and Asia-Pacific, supporting clients in improving operational efficiency, customer experience, and regulatory compliance through data-driven decision-making.
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