We are looking for an experienced AI/ML professional to lead the design and delivery of cutting-edge agentic AI solutions focused on network anomaly detection, incident investigation, and operational intelligence. Key Responsibilities • Design and develop LLM-powered agents and multi-agent workflows. • Build and enhance RAG (Retrieval-Augmented Generation) solutions using network and operational data. • Lead prompt engineering, tool-calling, agent orchestration, and AI solution architecture. • Collaborate with architects, engineers, product teams, and client stakeholders to transform business requirements into scalable AI capabilities. • Provide technical leadership through code reviews, architecture discussions, and knowledge sharing. Required Skills • Strong Python development experience with GenAI/LLM-based applications. • Hands-on expertise with LangChain, LangGraph, or similar agentic AI frameworks. • Deep understanding of LLMs, prompt engineering, tool calling, structured outputs, and agent orchestration. • Experience designing and implementing RAG architectures, vector search, embeddings, and hybrid retrieval solutions. • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience in network operations, telecommunications, anomaly detection, or incident management. • Knowledge of cloud AI platforms (AWS, Azure, or GCP). • AI/ML, cloud, or telecom-related certifications are a plus. Tech Stack • Python | LLMs | LangChain | LangGraph | RAG | OpenSearch | Pinecone | PostgreSQL | pgvector | Cloud AI Services