NICE Software Engineer 

India, Maharashtra, Pune 

262971548

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.
• 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.

Tech Manager, Engineering, CX
Individual Contributor