Job Summary
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
Other Requirements
Neo4j, OpenSearch, Milvus
LangChain / LlamaIndex
Google Vertex AI
Telecom Engineering Domain (RAN, Core, O-RAN, PDLC)