Principal AI Software Engineer

NICE; Seattle (WA); On-site; USD 140,000 - 180,000; Full time

Job summary

NICE is seeking a Principal AI Software Engineer to lead the development of AI-powered operational platforms. The ideal candidate will leverage their expertise in TypeScript, React, and LLMs to design and implement intelligent workflows that integrate across systems and cloud infrastructure.

This role emphasizes hands-on work, focusing on building scalable solutions in production while collaborating with various teams to optimize performance and reliability.

Qualifications

• 10+ years of software engineering experience, strong focus on full-stack web development.
• Expert in TypeScript and React.
• Production experience with Next.js.
• Hands-on experience with LLMs.
• Strong backend fundamentals such as Node.js or Python.

Responsibilities

• Design and develop scalable backend systems for AI-powered platforms.
• Build and maintain AI integrations, workflows, and automation pipelines.
• Implement REST APIs, microservices, and event-driven architectures.
• Troubleshoot and optimize production systems.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Skills

TypeScript

React

LLMs

Node.js

Python

REST APIs

PostgreSQL

Redis

CI/CD

Docker

Tools

Next.js

Vercel AI SDK

Grafana

Prometheus

Job description

Principal AI Software Engineer – Cloud AI Platforms

At 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 systems
• Develop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services
• Design and implementAPIs, tools, and data pipelinesthat power AI‑driven decision‑making
• Work onLLM integrations, prompt engineering, and orchestration layers— streaming responses, function calling, tool use, RAG pipelines, agentic orchestration
• Build and maintain full‑stack AI applications usingTypeScript, React, and Next.js— from user dashboards and personalized experiences to real‑time analytics and interactive tools
• Translate real‑world operational problems into automated, intelligent solutions
• Collaborate with Product, SRE, and Infrastructure teams to deliver end‑to‑end capabilities
• Improve system performance, reliability, and observability
• Buildevaluation and observability systems— measure model capabilities, monitor output quality, and create dashboards that keep the product improvable
• Createreusable platforms and toolsthat accelerate development — component libraries, shared abstractions, internal tooling that multiplies team productivity

Key Responsibilities

• Design and develop scalable backend systems for AI‑powered platforms
• Build and maintain AI integrations, workflows, and automation pipelines
• Implement REST APIs, microservices, and event‑driven architectures
• Design and implementdatabase schemasand queries for complex domains — tracking, engagement, reporting
• Work with both structured and unstructured data for AI use cases
• Contribute to CI/CD pipelines, testing, and deployment automation
• Troubleshoot and optimize production systems
• Collaborate with cross‑functional teams to deliver high‑quality solutions
• Contribute to reusable frameworks and engineering best practices
• Prototype fast — move from concept to working demo in days, ship incrementally

What we’re looking for

• 10+ yearsof software engineering experience, strong focus on full‑stack web development
• Expert in TypeScript and React— performance optimization, modern patterns (hooks, context, suspense), component architecture
• Production experience with Next.js— App Router, Server Components, API routes, SSR/SSG, edge deployment
• Hands‑on experience with LLMs— prompt engineering, streaming APIs, function calling, tool‑use, chaining and orchestration patterns
• Experience with Vercel AI SDK— unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI
• Model Context Protocol (MCP)— building or consuming MCP servers for extensible AI tool use
• Strong backend fundamentals— Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth
• Solid database design— PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations
• Experience building scalable, distributed systems in cloud environments (AWS / Azure)
• Working knowledge of CI/CD, Docker, Kubernetes
• Familiarity withTailwind CSS, Radix UIand modern component‑driven UI development
• High agency— you operate independently in ambiguous environments, take ownership of problems, and drive them to completion
• Strong problem‑solving and analytical skills
• Ability to work in a fast‑paced, evolving environment
• Communicate effectively with both technical and non‑technical stakeholders

Nice to have

• Experience 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, Turbopack
• Background inevaluation frameworks— measuring model capabilities, collecting human feedback at scale, A/B testing outputs
• Experience withsandboxed execution environmentsfor safely running AI‑generated code
• Builtresearch tools, experimentation platforms, or scientific software
• Proficiency withPython— FastAPI/Django, data pipelines, ML tooling
• Knowledge ofobservability tools (Grafana, Prometheus, Sentry, etc.)
• Experience buildingautomation or internal platforms
• Familiarity withreal‑time features— WebSockets, streaming UX, collaborative interfaces
• Knowledge ofadvanced web technologies— WebGL, WebAssembly, web workers, PWAs
• Experience withalternate JS runtimes— Bun, Deno
• Built open‑source tools or platforms with active user communities
• Strong quantitative foundation (math, physics, or related fields)

Representative Projects

Things you might build in this role:

• Interfaces for collecting and managinghuman feedback on model outputsat scale
• Experiment orchestration platforms— launch, monitor, and analyze complex AI research runs
• Visualization toolsthat help understand model behavior and identify failure modes
• Reusable components and frameworks that enablerapid developmentof new AI applications
• Sandboxed execution environmentsfor safely running AI‑generated code
• AI‑poweredpersonalization engines— tutoring, content generation, adaptive features
• Workflow buildersthat let non‑engineers orchestrate AI capabilities visually
• Enterprise integrations — ServiceNow, Salesforce, Confluence, Jira

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.