NICE - Senior AI Software Engineer
Requirements
• 5 or more years of software engineering experience with a strong emphasis on AI tooling, , or platform engineering. • Production-grade experience in .NET C#. Experience with Javascript and ReactJS is a plus. • Hands-on experience building automation that interacts directly with REST or GraphQL APIs, not simply writing scripts that call CLI tools. • Familiarity with CI/CD systems such as GitLab CI or GitHub Actions • Demonstrated ability to build AI-powered workflows using LLM APIs including Anthropic, OpenAI, or equivalent, covering prompt engineering, tool use and function calling, and agentic orchestration patterns. • Strong understanding of distributed systems, and cloud-native observability including metrics, logs, and traces. • Excellent written and verbal communication skills, with the ability to translate complex systems into clear documentation and architecture diagrams. • A bachelor's degree in computer science, Engineering, or a related field, or equivalent work experience. • Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen or AG2, Semantic Kernel, or Smolagents. • Prior work in regulated or sovereign cloud environments such as FedRAMP, IL4, UK G-Cloud, or AU PROTECTED. • Familiarity with Backstage developer portals and integration with CI/CD pipelines. • Experience with OpenObserve, Grafana, or similar observability platforms at scale. • Prior experience building internal tooling that replaced manual, click-through web interfaces for infrastructure operations. • What Success Looks Like • You have completed a deep dive into cluster build and region provisioning workflows and identified the top three automation gaps. You have delivered a first working prototype that automates at least one currently manual step. • An end-to-end automation pipeline has shipped for at least one cluster or region to build workflow. You are contributing to the DevOps AI Working Group with a clear ownership lane, and an MCP server integration is scoped and in active development. • There is a measurable reduction in manual effort for at least one team. AI-driven automation is in active use by DevOps engineers, and you are established as a trusted collaborator across Release Management, SRE, Systems, Network, and Voice teams. • NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. • Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
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