Specialist Software Engineer

Summary

Join NiCE, a global market leader, as a highly driven Software Engineer. Lead the integration of various Content Management Systems with AWS Knowledge Hub, enabling advanced RAG search across diverse customer data without data duplication. Expand Knowledge Hub to support non-traditional knowledge items and enhance customer self-service capabilities. Work at the intersection of AI, search infrastructure, and developer experience to make enterprise knowledge accessible and AI-ready. Integrate CMS with AWS Knowledge Hub for seamless RAG-based search, extend Knowledge Hub capabilities to ingest various data types, build secure connectors to customer data repositories, and enable self-service capabilities for customers. Collaborate with NLP/AI and product teams to optimize search pipelines and design intuitive user experiences. Implement data governance and observability features.

Requirements

• Proven experience with search infrastructure, RAG pipelines, and LLM-based applications
• 8+ 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