{"schemaVersion":"jobsearcher.job.v1","id":"fcd3de426f77f625de38c7f8","url":"https://jobsearcher.com/jobs/fcd3de426f77f625de38c7f8","canonicalUrl":"https://jobsearcher.com/jobs/fcd3de426f77f625de38c7f8","title":"Senior Software Engineer - AI Coding Agents","description":"Senior Software Engineer - AI Coding Agents\r\nAt 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.\r\nAt 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.\r\nWhat's the role all about?\r\nAs 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.\r\nThis is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments .\r\nHow will you make an impact?\r\nBuild and scale AI-driven workflows and automation systems\r\nDevelop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services\r\nDesign and implement APIs, tools, and data pipelines that power AI-driven decision-making\r\nWork on LLM integrations, prompt engineering, and orchestration layers — streaming responses, function calling, tool use, RAG pipelines, agentic orchestration\r\nBuild and maintain full-stack AI applications using TypeScript, React, and Next.js — from user dashboards and personalized experiences to real-time analytics and interactive tools\r\nTranslate real-world operational problems into automated, intelligent solutions\r\nCollaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities\r\nImprove system performance, reliability, and observability\r\nBuild evaluation and observability systems — measure model capabilities, monitor output quality, and create dashboards that keep the product improvable\r\nCreate reusable platforms and tools that accelerate development — component libraries, shared abstractions, internal tooling that multiplies team productivity\r\nKey Responsibilities\r\nDesign and develop scalable backend systems for AI-powered platforms\r\nBuild and maintain AI integrations, workflows, and automation pipelines\r\nImplement REST APIs, microservices, and event-driven architectures\r\nDesign and implement database schemas and queries for complex domains — tracking, engagement, reporting\r\nWork with both structured and unstructured data for AI use cases\r\nContribute to CI/CD pipelines, testing, and deployment automation\r\nTroubleshoot and optimize production systems\r\nCollaborate with cross-functional teams to deliver high-quality solutions\r\nContribute to reusable frameworks and engineering best practices\r\nPrototype fast — move from concept to working demo in days, ship incrementally\r\nWhat we're looking for\r\n5+ years of software engineering experience, strong focus on full-stack web development\r\nExpert in TypeScript and React — performance optimization, modern patterns (hooks, context, suspense), component architecture\r\nProduction experience with Next.js — App Router, Server Components, API routes, SSR/SSG, edge deployment\r\nHands-on experience with LLMs — prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patterns\r\nExperience with Vercel AI SDK — unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI\r\nModel Context Protocol (MCP) — building or consuming MCP servers for extensible AI tool use\r\nStrong backend fundamentals — Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth\r\nSolid database design — PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations\r\nExperience building scalable, distributed systems in cloud environments (AWS / Azure)\r\nWorking knowledge of CI/CD, Docker, Kubernetes\r\nFamiliarity with Tailwind CSS, Radix UI and modern component-driven UI development\r\nHigh agency — you operate independently in ambiguous environments, take ownership of problems, and drive them to completion\r\nStrong problem-solving and analytical skills\r\nAbility to work in a fast-paced, evolving environment\r\nCommunicate effectively with both technical and non-technical stakeholders\r\nNice to have\r\nExperience building agentic coding tools , AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)\r\nExperience with Vercel ecosystem — Next.js, AI SDK providers, Turbopack\r\nBackground in evaluation frameworks — measuring model capabilities, collecting human feedback at scale, A/B testing outputs\r\nExperience with sandboxed execution environments for safely running AI-generated code\r\nBuilt research tools, experimentation platforms , or scientific software\r\nProficiency with Python — FastAPI/Django, data pipelines, ML tooling\r\nKnowledge of observability tools (Grafana, Prometheus, Sentry, etc.)\r\nExperience building automation or internal platforms\r\nFamiliarity with real-time features — WebSockets, streaming UX, collaborative interfaces\r\nKnowledge of advanced web technologies — WebGL, WebAssembly, web workers, PWAs\r\nExperience with alternate JS runtimes — Bun, Deno\r\nBuilt open-source tools or platforms with active user communities\r\nStrong quantitative foundation (math, physics, or related fields)\r\nRepresentative Projects\r\nThings you might build in this role\r\nInterfaces for collecting and managing human feedback on model outputs at scale\r\nExperiment orchestration platforms — launch, monitor, and analyze complex AI research runs\r\nVisualization tools that help understand model behavior and identify failure modes\r\nReusable components and frameworks that enable rapid development of new AI applications\r\nSandboxed execution environments for safely running AI-generated code\r\nWorkflow builders that let non-engineers orchestrate AI capabilities visually\r\nAbout NiCE\r\nNICELtd. (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.\r\nKnown 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.\r\nNiCE 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.\r\nJ-18808-Ljbffr","company":"Nice","rawCompany":"nice","city":"Atlanta","state":"GA","isRemote":false,"isActive":true,"createdAt":"2026-06-25T01:21:44.950Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer - AI Coding Agents","description":"Senior Software Engineer - AI Coding Agents\r\nAt 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.\r\nAt 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.\r\nWhat's the role all about?\r\nAs 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.\r\nThis is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments .\r\nHow will you make an impact?\r\nBuild and scale AI-driven workflows and automation systems\r\nDevelop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services\r\nDesign and implement APIs, tools, and data pipelines that power AI-driven decision-making\r\nWork on LLM integrations, prompt engineering, and orchestration layers — streaming responses, function calling, tool use, RAG pipelines, agentic orchestration\r\nBuild and maintain full-stack AI applications using TypeScript, React, and Next.js — from user dashboards and personalized experiences to real-time analytics and interactive tools\r\nTranslate real-world operational problems into automated, intelligent solutions\r\nCollaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities\r\nImprove system performance, reliability, and observability\r\nBuild evaluation and observability systems — measure model capabilities, monitor output quality, and create dashboards that keep the product improvable\r\nCreate reusable platforms and tools that accelerate development — component libraries, shared abstractions, internal tooling that multiplies team productivity\r\nKey Responsibilities\r\nDesign and develop scalable backend systems for AI-powered platforms\r\nBuild and maintain AI integrations, workflows, and automation pipelines\r\nImplement REST APIs, microservices, and event-driven architectures\r\nDesign and implement database schemas and queries for complex domains — tracking, engagement, reporting\r\nWork with both structured and unstructured data for AI use cases\r\nContribute to CI/CD pipelines, testing, and deployment automation\r\nTroubleshoot and optimize production systems\r\nCollaborate with cross-functional teams to deliver high-quality solutions\r\nContribute to reusable frameworks and engineering best practices\r\nPrototype fast — move from concept to working demo in days, ship incrementally\r\nWhat we're looking for\r\n5+ years of software engineering experience, strong focus on full-stack web development\r\nExpert in TypeScript and React — performance optimization, modern patterns (hooks, context, suspense), component architecture\r\nProduction experience with Next.js — App Router, Server Components, API routes, SSR/SSG, edge deployment\r\nHands-on experience with LLMs — prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patterns\r\nExperience with Vercel AI SDK — unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI\r\nModel Context Protocol (MCP) — building or consuming MCP servers for extensible AI tool use\r\nStrong backend fundamentals — Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth\r\nSolid database design — PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations\r\nExperience building scalable, distributed systems in cloud environments (AWS / Azure)\r\nWorking knowledge of CI/CD, Docker, Kubernetes\r\nFamiliarity with Tailwind CSS, Radix UI and modern component-driven UI development\r\nHigh agency — you operate independently in ambiguous environments, take ownership of problems, and drive them to completion\r\nStrong problem-solving and analytical skills\r\nAbility to work in a fast-paced, evolving environment\r\nCommunicate effectively with both technical and non-technical stakeholders\r\nNice to have\r\nExperience building agentic coding tools , AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)\r\nExperience with Vercel ecosystem — Next.js, AI SDK providers, Turbopack\r\nBackground in evaluation frameworks — measuring model capabilities, collecting human feedback at scale, A/B testing outputs\r\nExperience with sandboxed execution environments for safely running AI-generated code\r\nBuilt research tools, experimentation platforms , or scientific software\r\nProficiency with Python — FastAPI/Django, data pipelines, ML tooling\r\nKnowledge of observability tools (Grafana, Prometheus, Sentry, etc.)\r\nExperience building automation or internal platforms\r\nFamiliarity with real-time features — WebSockets, streaming UX, collaborative interfaces\r\nKnowledge of advanced web technologies — WebGL, WebAssembly, web workers, PWAs\r\nExperience with alternate JS runtimes — Bun, Deno\r\nBuilt open-source tools or platforms with active user communities\r\nStrong quantitative foundation (math, physics, or related fields)\r\nRepresentative Projects\r\nThings you might build in this role\r\nInterfaces for collecting and managing human feedback on model outputs at scale\r\nExperiment orchestration platforms — launch, monitor, and analyze complex AI research runs\r\nVisualization tools that help understand model behavior and identify failure modes\r\nReusable components and frameworks that enable rapid development of new AI applications\r\nSandboxed execution environments for safely running AI-generated code\r\nWorkflow builders that let non-engineers orchestrate AI capabilities visually\r\nAbout NiCE\r\nNICELtd. (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.\r\nKnown 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.\r\nNiCE 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.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:21:44.950Z","dateModified":"2026-06-25T01:21:44.950Z","hiringOrganization":{"@type":"Organization","name":"Nice","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fcd3de426f77f625de38c7f8"},"url":"https://jobsearcher.com/jobs/fcd3de426f77f625de38c7f8"}}