Senior Software Engineer - AI Coding Agents

Senior Software Engineer - AI Coding AgentsAt 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 scale AI-driven workflows and automation systemsDevelop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud servicesDesign and implement APIs, tools, and data pipelines that power AI-driven decision-makingWork on LLM integrations, prompt engineering, and orchestration layers — streaming responses, function calling, tool use, RAG pipelines, agentic orchestrationBuild and maintain full-stack AI applications using TypeScript, 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 observabilityBuild evaluation and observability systems — measure model capabilities, monitor output quality, and create dashboards that keep the product improvableCreate reusable platforms and tools that 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 implement database schemas and 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+ years of 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 with Tailwind CSS, Radix UI and 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 building agentic coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)Experience with Vercel ecosystem — Next.js, AI SDK providers, TurbopackBackground in evaluation frameworks — measuring model capabilities, collecting human feedback at scale, A/B testing outputsExperience with sandboxed execution environments for safely running AI-generated codeBuilt research tools, experimentation platforms, or scientific softwareProficiency with Python — FastAPI/Django, data pipelines, ML toolingKnowledge of observability tools (Grafana, Prometheus, Sentry, etc.)Experience building automation or internal platformsFamiliarity with real-time features — WebSockets, streaming UX, collaborative interfacesKnowledge of advanced web technologies — WebGL, WebAssembly, web workers, PWAsExperience with alternate 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 managing human feedback on model outputs at scaleExperiment orchestration platforms — launch, monitor, and analyze complex AI research runsVisualization tools that help understand model behavior and identify failure modesReusable components and frameworks that enable rapid development of new AI applicationsSandboxed execution environments for safely running AI-generated codeAI-powered personalization engines — tutoring, content generation, adaptive featuresWorkflow builders that let non-engineers orchestrate AI capabilities visuallyEnterprise integrations — ServiceNow, Salesforce, Confluence, JiraAbout NiCENICE 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.