Senior Software Engineer(Python, AWS)

So, what s the role all about

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

• 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.

• 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.

What s in it for you

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