BRS_Lead Engineer_India

Overview:
Brightspeed is building a transformative Generative AI platform to optimize circuit management across its telecom infrastructure. As Lead Engineer, you’ll drive Python-based development across data engineering, AI/ML, and system integration layers to enable intelligent circuit consolidation and forecasting. Responsibilities:
Key Responsibilities:
Platform Development: Architect and build modular, cloud-native Python components for the optimization engine.
Data Engineering: Design ETL pipelines to ingest and normalize data from internal systems and vendor sources.
Knowledge Graphs: Implement and maintain the Canonical Circuit Intelligence Graph (CCIG) using Python and graph databases.
AI/ML Models: Develop rule-based and predictive models for anomaly detection, clustering, and forecasting.
Generative AI: Fine-tune GenAI models (e.g., CircuitGPT, ClauseMatcherBERT) for semantic understanding and recommendation generation.
Multi-Agent Architecture: Build Python agents for topology discovery, utilization analysis, risk evaluation, and recommendation generation.
Simulation & Forecasting: Implement Python-based forecasting models and real-time what-if simulation tools.
Integration & APIs: Develop secure Python APIs for integration with ERP, ticketing, and contract systems.
NLP Dashboards: Create persona-driven NLP interfaces for Finance, Procurement, and Network Ops teams.
Requirements:
Expert-level Python development across AI/ML, data engineering, and API design. Experience with GenAI (GPT-4, BERT), NLP, and ML frameworks. Strong background in ETL, schema normalization, and OCR. Familiarity with graph databases and semantic modeling. Cloud-native architecture and microservices experience. Telecom domain knowledge (LLDP, SNMP, NetConf) is a plus.