Senior Engineer - RAG Engineering, Assistant Manager
The interview process has not been published for this job.
The interview process has not been published for this job.
Who we are looking for We are looking for a hands-on Senior Engineer with a proven track record of designing and implementing enterprise-scale Ontologies, Knowledge Graphs, Knowledge Layers, RAG and Graph RAG pipelines, Agentic AI solutions, AI orchestration frameworks, and cloud-native Generative AI capabilities. Working with AI platform, enterprise architecture, data engineering, product, and application teams, you will focus on hands-on development, configuration, integration, testing, troubleshooting, and production support. You will need deep experience in semantic technologies, graph databases, ingestion and retrieval pipelines, Python engineering, AWS Bedrock, and modern agent frameworks across cloud-native and enterprise environments. Why this role is important to us Enterprise AI capabilities depend on trusted, connected, governed, and traceable knowledge. Ontologies and Knowledge Graphs provide the semantic foundation, while RAG, Graph RAG, and Agentic AI make that knowledge accessible for intelligent search, impact analysis, operational support, onboarding, engineering productivity, and workflow automation. This role is important in converting fragmented enterprise information into a reusable knowledge layer and building the technical services that allow AI applications and agents to retrieve, reason, cite sources, and execute approved actions reliably. About t
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