NICE
ITSoftwareEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“IT Software Engineer at NICE. Skills: AI platform development, Integration layer, Agent orchestration, Models Gateway, RAG pipelines. Build internal AI platform. Implement foundational components”
What You'll Achieve.
Ship to production; Used daily by colleagues
Industry & Context.
Technically complex problems
On-call rotation
What They're Looking For.
Must Have
4+ years software engineering experience, Python or TypeScript production experience, LLM-powered application experience, REST API design knowledge, Async programming knowledge, Event-driven architecture knowledge, Agent or orchestration framework experience, Azure services experience, Git workflow proficiency, Clean, tested, documented code writing
Nice to Have
MCP servers/clients experience, Anthropic Claude API experience, Vector database experience, LLM evaluation frameworks experience, GitHub Copilot enterprise experience, Enterprise IT systems integration background
What You'll Do.
Build internal AI platform
Implement foundational components
Build integration layer
Connect enterprise systems
Build agent orchestration engine
Build developer tooling
Write production-quality code
Collaborate with Software Architect
Collaborate with DevOps teams
Own and build core components
Build MCP Integration Layer
Implement MCP server libraries
Implement MCP client libraries
Connect systems to AI agents
Design tool handle auth flows
Implement error handling
Implement rate limiting
Build A2A interoperability layer
Enable multi-agent collaboration
Develop AI Agentic Platform
Implement AI agent frameworks
Build agent harnesses
Integrate with Azure AI Foundry
Integrate with Anthropic Claude API
Manage context windows
Manage streaming responses
Manage multi-turn conversations
Engineer Models Gateway
Build unified gateway
Abstract LLM providers
Implement model routing logic
Implement fallback chains
Implement cost-based dispatch
Implement latency budgeting
Implement per-team quota enforcement
Own index optimization
Implement Prompt Management
Instrument AI components
Build Azure Monitor dashboards
Participate in on-call rotation
How You'll Work.
Team & Collaboration
Cross-functional teams; DevOps teams; Security teams
Process & Methodology
Agile
Full Job Description
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’s the role all about? NICE is assembling a core engineering team to build the internal AI platform that powers intelligent automation across the enterprise. As IT Software Engineer in the Orchestration AI Development team, you will move beyond using AI tools, you will build them. You will implement the foundational components of NICE's AI architecture: the integration layer that connects enterprise systems via MCP, the agent orchestration engine, the Models Gateway, RAG pipelines, and the tooling that makes every developer at NICE more productive. Your work ships to production and is used daily by hundreds of colleagues. This is a full-stack engineering role with a strong AI focus. You will write clean, production-quality code, collaborate closely with the Software Architect and DevOps teams, and operate with significant autonomy on technically complex problems. How will you make an impact? You will own and build the core components of NICE's AI platform, the integration layer, agent platform, Models Gateway, RAG pipelines, and developer tooling, working hands-on across the stack with the Architect, DevOps, and Security teams. Build the MCP Integration Layer Implement MCP server and client libraries that connect enterprise systems (Atlassian, Microsoft 365, ServiceNow, Workday, Salesforce, Snowflake) to AI agents Design and expose clean tool schemas; handle auth flows (OAuth2, managed identity); implement error handling, retries, and rate limiting Build the A2A (Agent-to-Agent) interoperability layer enabling multi-agent collaboration across the platform Develop the AI Agentic Platform Implement production-grade AI agent frameworks: ReAct loops, tool-augmented reasoning,
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