Quick Overview
Job Description
Job Description:
* 10+ years in Software Platform Engineering
* 3+ years in GenAI Enterprise AI Platforms
* Telecom domain experience preferred
Key Responsibilities-
* Build an Engineering Intelligence Platform that converts engineering artifacts code, defects, tests, releases, and documents into AI-ready knowledge assets. Powers engineering copilots, intelligent search, and Agentic AI solutions across the telecom engineering lifecycle.
Skill Requirements-
* Enterprise Data Integration & Connector Frameworks
* Agentic AI and LLM-based Applications
* Graph RAG Hybrid RAG
* Knowledge Graphs & Semantic Search
* Metadata Management, Governance & Lineage
* Python and Kubernetes
* AWS AI & Cloud services
* Knowledge Graphs & Semantic Search - Graph RAG Hybrid RAG over engineering data
* Agentic AI & LLM Applications - Engineering copilots, intelligent search agents
* Enterprise Data Integration - Connector frameworks across artifact sources
* Telecom Engineering Domain - RAN, Core, O-RAN, PDLC context
* Platform Foundation - Python, Kubernetes, metadata governance & lineage
Must Have Skills-
* Agentic AI
* Large Language Models (LLMs)
Good to have Skills-
* Kubernetes
Other Requirements-
* Neo4j, OpenSearch, Milvus
* LangChain LlamaIndex
* Google Vertex AI
* Telecom Engineering Domain (RAN, Core, O-RAN, PDLC)
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