We are looking for a highly driven and technically skilled Software Engineer to lead the integration of various Content Management Systems with AWS Knowledge Hub, enabling advanced Retrieval-Augmented Generation (RAG) search across heterogeneous customer data- without requiring data duplication.

This role will also be responsible for expanding the scope of Knowledge Hub to support non-traditional knowledge items and enhance customer self-service capabilities.

You will work at the intersection of AI, search infrastructure, and developer experience to make enterprise knowledge instantly accessible, actionable, and AI-ready.

How will you make an impact ?

- 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.

Have you got what it takes ?

- Proven experience with search infrastructure, RAG pipelines, and LLM-based applications.

- 5+ 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.

Whats in it for you ?

Join an ever-growing, market disrupting, global company where the teams - comprised of the best of the best - work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations.