Jobs → Customer Support → AI/ML SME

About the Role We are seeking an AI/ML SME to join a network anomaly agentic AI program. This role requires hands-on experience with AI/ML technologies and the ability to translate network operations requirements into scalable agentic AI capabilities. Key Responsibilities • Serve as the AI/ML SME for a network anomaly agentic AI program, advising on solution design, technical direction, and implementation approach. • Design and develop LLM-powered agents and multi-agent workflows for network anomaly detection, triage, root-cause investigation, and operational insight generation. • Build RAG capabilities using network data, documentation, incident history, knowledge bases, and operational procedures. • Lead prompt engineering, tool-calling, agent routing, structured outputs, and evaluation patterns for reliable AI-assisted network operations. • Partner with architects, engineers, data teams, product owners, and client stakeholders to convert business and network operations needs into actionable AI capabilities. • Support code reviews, architecture discussions, sprint delivery, documentation, and knowledge sharing across the GenAI engineering team. Requirements • Strong Python software engineering experience with hands-on GenAI, AIML, or LLM-based application delivery. • Experience with LangChain, LangGraph, or equivalent agenticAI frameworks. • Strong understanding of LLM APIs, tool calling, prompt engineering, structured outputs, streaming, and agent orchestration patterns. • Experience designing RAG solutions using embeddings, vector search, hybrid retrieval, re-ranking, and answer generation. • Ability to operate as a technical SME with strong communication, consulting, solution design, and stakeholder-facing skills. • Experience with network operations, anomaly detection, incident analysis, telecommunications, or enterprise operations use cases preferred. • Working knowledge of cloud AI services, APIs, databases, observability, testing, and production deployment practices.