7 hours ago
Hoboken, NJ, USA +2 moreMid Level / Senior
H1B sponsor
Responsibilities
- Build MCP server and client libraries integrating enterprise systems including Atlassian, Microsoft 365, ServiceNow, Workday, Salesforce, and Snowflake with AI agents.
- Develop production AI agent frameworks, orchestration, memory and state management, and use-case-specific agent harnesses.
- Build a unified Models Gateway with routing, fallback, quota enforcement, logging, token metering, and usage dashboards.
- Design RAG ingestion and retrieval pipelines with embeddings, hybrid search, reranking, vector stores, and context assembly.
- Create prompt registries, LLM evaluation pipelines, regression tests, hallucination detection, feedback collection, and performance dashboards.
- Develop GitHub Actions workflows, reusable SDKs and client libraries, and integrations with GitHub Copilot and Azure AI Foundry.
- Instrument AI services with OpenTelemetry and operate Azure Monitor dashboards, alerts, and on-call support for critical services.
Requirements
- 2–5 years of professional software engineering experience with Python or TypeScript in production environments.
- Hands-on experience building and deploying LLM-powered applications, including RAG pipelines, agents, tool use, or prompt-engineering systems.
- Strong understanding of REST API design, asynchronous programming, and event-driven architecture.
- Experience with an agent or orchestration framework such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent.
- Practical Azure experience including Azure OpenAI, Azure Storage, and Azure Container Apps or AKS.
- Experience with Git branching, pull requests, code review, and CI integration.
- Ability to write clean, tested, and documented code, and fluency in English.
- Bonus experience may include MCP, Anthropic Claude API, vector databases, LLM evaluation frameworks, GitHub Copilot enterprise configuration, enterprise IT integrations, OpenTelemetry, Azure Monitor, or Grafana.
Benefits
- NiCE-FLEX hybrid work model with 2 days in the office and 3 days working remotely each week.
- Fast-paced, collaborative environment with learning opportunities and internal career opportunities across roles, disciplines, domains, and locations.
Tech Stack
Categories
About NICE
NICE builds cloud contact center platforms, customer analytics, and workforce optimization tools for enterprises and public sector agencies, including public safety recording. Its portfolio includes CXone (CCaaS), digital self-service, interaction recording, RPA, and financial crime and compliance solutions through NICE Actimize. Founded in 1986 and headquartered in Hoboken, New Jersey, NICE is a public company traded on NASDAQ under the ticker NICE, serving customers in 150+ countries.