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- Overall 12+ year of IT Experience with 5+ year Reactive Native , Latest Tech Stack, Type Script , RTK Query , Jest unit testing

- Experience in Native Skill Android/IOS , Tools like Figma, Creating User Story in Jira etc , Google Maps ,

- Must have Agile methodology (Scrum master)

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career chance that will light a fire within you.

What's the Role All About?
The Lead AI Software Engineer is a customer-facing, billable role responsible for implementing, configuring, and delivering AI-driven and Conversational AI solutions across the NICE CXone ecosystem. As a hands‑on technical contributor, you will build integrations, configure conversational AI platforms, and ensure high-quality execution of project deliverables.

How Will You Make an Impact?

- Technical Implementation and Configuration:
- Configure, customize, and deploy Conversational AI solutions aligned to defined business and technical requirements.
- Build and maintain integrations using APIs, modern web technologies, and authentication standards.
- Implement, enhance, and optimize bot behaviors using conversational design and prompt engineering best practices.
- Develop proofs of concept (PoCs) and production-ready solution components.




- Support testing, validation, and go‑live activities to ensure solutions are functioning as expected across customer environments.
- Technical Problem Solving & Quality:
- Diagnose and resolve complex technical issues across SaaS applications, integrations, environments, and data flows.
- Adapt, extend, or refactor existing integrations and solution components to meet evolving customer needs.
- Ensure implementations meet quality, performance, security, and usability standards.
- Produce documentation including specifications, test cases, and deployment materials.

- Collaboration with Implementation Teams:
- Partner closely with Implementation Engineers, Consultants and Project Managers who lead discovery, requirements definition, and solution design.
- Participate in customer workshops to clarify technical details, validate feasibility, and provide subject‑matter input.
- Maintain clear and consistent communication across cross‑functional delivery teams.

Have You Got What It Takes?

- Bachelor’s degree in technical or business field (e.g., Computer Science, Information Systems, Electrical Engineering) or equivalent work experience.
- 7+ years of professional experience, with 3+ years in digital channels or AI/Bot software applications preferred.
- Technical Skills:
- Solid understanding of:
- REST API integration patterns
- HTML/CSS and front‑end fundamentals
- Ability to interpret API documentation, implement PoCs, and troubleshoot integrations.
- Strong understanding of conversational UX, AI driven interfaces, and prompt engineering techniques.
- Communication and Collaboration:
- Clear, confident written and verbal communication skills.
- Comfortable engaging with customers to explain technical concepts and implementation decisions.
- Effective collaborator during design discussions, code reviews, technical troubleshooting,

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📌 Neuroscience - Ai Training - Gold Coast, Australia (Sydney)
🏢 Prolific Academic
📍 Sydney