Asks for

The ad says“Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.”
The ad says“Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.”
The ad says“Experience with telemetry, dashboards, and AI usage analytics.”
The ad says“Strong practical experience with LLMs and AI-assisted development.”
The ad says“Full-stack capability: backend, APIs, automation, and basic frontend when needed.”
The ad says“Full-stack capability: backend, APIs, automation, and basic frontend when needed.”
The ad says“Experience designing, building, and orchestrating autonomous agentic systems and multi-agent workflows for internal or external automation.”
The ad says“Full-stack capability: backend, APIs, automation, and basic frontend when needed.”
The ad says“Experience integrating with GitHub API, Jira API, Confluence API, and CI/CD systems.”
The ad says“Experience integrating with GitHub API, Jira API, Confluence API, and CI/CD systems.”
The ad says“Experience with telemetry, dashboards, and AI usage analytics.”
The ad says“Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.”
The ad says“Full-stack capability: backend, APIs, automation, and basic frontend when needed.”
The ad says“Experience integrating with GitHub API, Jira API, Confluence API, and CI/CD systems.”
The ad says“Experience integrating with GitHub API, Jira API, Confluence API, and CI/CD systems.”
The ad says“Strong practical experience with LLMs and AI-assisted development.”
The ad says“Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.”
The ad says“Deep understanding of token economy, model selection, prompt/context design, and AI workflow optimization for cost, latency, speed, quality, accuracy, and reliability.”
The ad says“Experience designing, building, and orchestrating autonomous agentic systems and multi-agent workflows for internal or external automation.”
The ad says“Proficiency in TypeScript, Node.js, Python, React, or similar modern technologies.”
The ad says“Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.”
The ad says“Deep understanding of token economy, model selection, prompt/context design, and AI workflow optimization for cost, latency, speed, quality, accuracy, and reliability.”
The ad says“Proficiency in TypeScript, Node.js, Python, React, or similar modern technologies.”
The ad says“Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.”
The ad says“Proficiency in TypeScript, Node.js, Python, React, or similar modern technologies.”
The ad says“Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.”
The ad says“Strong hands-on software engineering experience.”
The ad says“Experience with telemetry, dashboards, and AI usage analytics.”
The ad says“Deep understanding of token economy, model selection, prompt/context design, and AI workflow optimization for cost, latency, speed, quality, accuracy, and reliability.”
The ad says“Proficiency in TypeScript, Node.js, Python, React, or similar modern technologies.”

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.

So what is the role all about?

The Senior Agentic Systems Engineer is a hands-on engineer who designs, builds, and operates AI-powered tools and workflows for engineering teams.

We’re looking for builders who are not only users of AI tools, but can design autonomous agentic systems, optimize model usage, create reusable agents and workflows, and orchestrate complex multi-step work across multiple tools and agents.

You’ll be a “one-person-army” builder: able to understand a problem, define the approach, build the backend, create a simple UI when needed, integrate APIs, connect agents, automate workflows, and deliver working tools quickly.

How will you make an impact?

Build centralized AI-powered tools for engineering teams.
Create and maintain agents, skills, hooks, MCP servers, plugins, and workflow automation.
Design autonomous agentic systems for internal engineering use cases.
Build multi-step AI workflows across code, documentation, Jira, GitHub, CI/CD, and internal systems.
Build tools for PR review support, test generation, documentation updates, spec creation, codebase understanding, and developer productivity.
Learn from local teams and convert successful solutions into reusable centralized assets.
Integrate AI tools with GitHub, Jira, Confluence, CI/CD, internal portals, and engineering systems.
Optimize AI workflows for cost, latency, quality, and reliability.
Apply token economy thinking when designing agents, prompts, MCP usage, RAG flows, and tool integrations.
Contribute to the internal AI marketplace and reusable asset catalog.
Work directly with engineering teams, collect feedback, and iterate quickly.

Have you got what it takes?

Strong practical experience with LLMs and AI-assisted development.
Experience designing, building, and orchestrating autonomous agentic systems and multi-agent workflows for internal or external automation.
Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.
Ability to orchestrate complex, multi-step work across cooperating agents and tools.
Deep understanding of token economy, model selection, prompt/context design, and AI workflow optimization for cost, latency, speed, quality, accuracy, and reliability.
Deep, current knowledge of the AI tooling and coding-agent ecosystem, such as Claude Code, GitHub Copilot, Cursor, Codex, or similar.
Experience with telemetry, dashboards, and AI usage analytics.
Strong hands-on software engineering experience.
Full-stack capability: backend, APIs, automation, and basic frontend when needed.
Experience building internal tools, developer tools, automation platforms, productivity solutions, CLI tools, internal plugins, developer portals, or internal marketplaces.
Experience integrating with GitHub API, Jira API, Confluence API, and CI/CD systems.
Proficiency in TypeScript, Node.js, Python, React, or similar modern technologies.
Strong product sense and ability to translate engineering pain points into practical tools and solutions.
Ability to design, deliver, and own working solutions independently.
Comfortable working with ambiguity and rapidly evolving technologies.

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 11421
Reporting to: Senior Director, Engineering
Role Type: IC

#LI-Hybrid

About 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.