IT Software Engineer

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 opportunity that will light a fire within you. IT Software Engineer, Core AI Development So, what’s the role all about? NICE is assembling a core engineering team to build the internal AI platform that powers intelligent automation across the enterprise. As IT Software Engineer in the Orchestration AI Development team, you will move beyond using AI tools, you will build them. You will implement the foundational components of NICE's AI architecture: the integration layer that connects enterprise systems via MCP, the agent orchestration engine, the Models Gateway, RAG pipelines, and the tooling that makes every developer at NICE more productive. Your work ships to production and is used daily by hundreds of colleagues. This is a full-stack engineering role with a strong AI focus. You will write clean, production-quality code, collaborate closely with the Software Architect and DevOps teams, and operate with significant autonomy on technically complex problems. How will you make an impact? You will own and build the core components of NICE's AI platform, the integration layer, agent platform, Models Gateway, RAG pipelines, and develo [... source excerpt omitted ...] es, and rate limiting • Build the A2A (Agent-to-Agent) interoperability layer enabling multi-agent collaboration across the platform Develop the AI Agentic Platform • Implement production-grade AI agent frameworks: ReAct loops, tool-augmented reasoning, multi-agent orchestration, memory and state management • Build agent harnesses for specific NICE use cases: IT helpdesk automation, procurement workflows, HR self-service, developer productivity agents • Integrate with Azure AI Foundry and Anthropic Claude API, managing context windows, tool use, streaming responses, and multi-turn conversations Engineer the Models Gateway • Build a unified gateway abstracting multiple LLM pr [... source excerpt omitted ...] cking dashboards Contribute to Developer Tooling & CI/CD • Build and maintain GitHub Actions workflows for AI component testing, deployment, and rollback • Write reusable SDK / client libraries for internal teams consuming the AI platform • Integrate GitHub Copilot and Azure AI Foundry into the development workflow; document patterns for the broader R&D org Observability & Production Operations • Instrument all AI components with OpenTelemetry: traces, metrics, and structured logs • Build Azure Monitor dashboards and alerts covering inference latency, error rates, token spend, and agent success rates • Participate in on-call rotation for critical AI platform services H