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.AI Software Engineer - Cloud AI PlatformsAt NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you're excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.What's the role all about?As an AI Software Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.How will you make an impact?Build and scaleAI-driven workflows and automation systemsDevelop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud servicesDesign and implementAPIs, tools, and data pipelinesthat power AI-driven decision-makingWork onLLM integrations, prompt engineering, and orchestration layers- streaming responses, function calling, tool use, RAG pipelines, agentic orchestrationBuild and maintain full-stack AI applications usingTypeScript, React, and Next.js- from user dashboards and personalized experiences to real-time analytics and interactive toolsTranslate real-world operational problems into automated, intelligent solutionsCollaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilitiesImprove system performance, reliability, and observabilityBuildevaluation and observability systems- measure model capabilities, monitor output quality, and create dashboards that keep the product improvableCreatereusable platforms and toolsthat accelerate development - component libraries, shared abstractions, internal tooling that multiplies team productivityKey ResponsibilitiesDesign and develop scalable backend systems for AI-powered platformsBuild and maintain AI integrations, workflows, and automation pipelinesImplement REST APIs, microservices, and event-driven architecturesDesign and implementdatabase schemasand queries for complex domains - tracking, engagement, reportingWork with both structured and unstructured data for AI use casesContribute to CI/CD pipelines, testing, and deployment automationTroubleshoot and optimize production systemsCollaborate with cross-functional teams to deliver high-quality solutionsContribute to reusable frameworks and engineering best practicesPrototype fast - move from concept to working demo in days, ship incrementallyWhat we're looking for5+ yearsof software engineering experience, strong focus on full-stack web developmentExpert in TypeScript and React- performance optimization, modern patterns (hooks, context, suspense), component architectureProduction experience with Next.js- App Router, Server Components, API routes, SSR/SSG, edge deploymentHands-on experience with LLMs- prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patternsExperience with Vercel AI SDK- unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAIModel Context Protocol (MCP)- building or consuming MCP servers for extensible AI tool useStrong backend fundamentals- Node.js or Python, REST/GraphQL APIs, relational databases, Redis, authSolid database design- PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrationsExperience building scalable, distributed systems in cloud environments (AWS / Azure)Working knowledge of CI/CD, Docker, KubernetesFamiliarity withTailwind CSS, Radix UIand modern component-driven UI developmentHigh agency- you operate independently in ambiguous environments, take ownership of problems, and drive them to completionStrong problem-solving and analytical skillsAbility to work in a fast-paced, evolving environmentCommunicate effectively with both technical and non-technical stakeholdersNice to haveExperience buildingagentic coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)Experience withVercel ecosystem- Next.js, AI SDK providers, TurbopackBackground inevaluation frameworks- measuring model capabilities, collecting human feedback at scale, A/B testing outputsExperience withsandboxed execution environmentsfor safely running AI-generated codeBuiltresearch tools, experimentation platforms, or scientific softwareProficiency withPython- FastAPI/Django, data pipelines, ML toolingKnowledge ofobservability tools(Grafana, Prometheus, Sentry, etc.)Experience buildingautomation or internal platformsFamiliarity withreal-time features- WebSockets, streaming UX, collaborative interfacesKnowledge ofadvanced web technologies- WebGL, WebAssembly, web workers, PWAsExperience withalternate JS runtimes- Bun, DenoBuilt open-source tools or platforms with active user communitiesStrong quantitative foundation (math, physics, or related fields)Representative ProjectsThings you might build in this role:Interfaces for collecting and managinghuman feedback on model outputsat scaleExperiment orchestration platforms- launch, monitor, and analyze complex AI research runsVisualization toolsthat help understand model behavior and identify failure modesReusable components and frameworks that enablerapid developmentof new AI applicationsSandboxed execution environmentsfor safely running AI-generated codeAI-poweredpersonalization engines- tutoring, content generation, adaptive featuresWorkflow buildersthat let non-engineers orchestrate AI capabilities visuallyEnterprise integrations - ServiceNow, Salesforce, Confluence, JiraAbout NiCE 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. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.