Software Engineer

Summary

Join NICE, a global leader in AI, cloud, and digital technologies, as a Software Engineer. You will lead the integration of various Content Management Systems with AWS Knowledge Hub, enabling advanced RAG search across diverse customer data. Responsibilities include expanding Knowledge Hub's scope to support non-traditional knowledge items and enhancing customer self-service capabilities. You will work at the intersection of AI, search infrastructure, and developer experience to make enterprise knowledge accessible and AI-ready. This role requires proven experience with search infrastructure, RAG pipelines, and LLM-based applications, as well as strong backend development skills. NICE offers a hybrid work model (NICE-FLEX) with flexible hours and numerous career growth opportunities.

Requirements

• Proven experience with search infrastructure, RAG pipelines, and LLM-based applications
• 2+ Years’ hands-on experience with AWS Knowledge Hub, AppFlow, Tray.ai, or equivalent cloud-based indexing/search platforms
• Strong backend development skills (Python, Typescript/NodeJS, .NET/Java) and familiarity with building and consuming REST APIs
• Infrastructure as a code (IAAS) service like AWS Cloud formation, CDK knowledge
• Deep understanding of data ingestion pipelines, index management, and search query optimization
• Experience working with unstructured and semi-structured data in real-world enterprise settings
• Ability to design for scale, security, and multi-tenant environment

Responsibilities

• Integrate CMS with AWS Knowledge Hub to allow seamless RAG-based search across diverse data types—eliminating the need to copy data into Knowledge Hub instances
• Extend Knowledge Hub capabilities to ingest and index non-knowledge assets, including structured data, documents, tickets, logs, and other enterprise sources
• Build secure, scalable connectors to read directly from customer-maintained indices and data repositories
• Enable self-service capabilities for customers to manage content sources using App Flow, Tray.ai, configure ingestion rules, and set up search parameters independently
• Collaborate with the NLP/AI team to optimize relevance and performance for RAG search pipelines
• Work closely with product and UX teams to design intuitive, powerful experiences around self-service data onboarding and search configuration
• Implement data governance, access control, and observability features to ensure enterprise readiness

Benefits

• 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