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Tier-1 brand, mid-level generalist title, metro location, and broad skill requirements increase competition.
Strong ML/LLM and network automation focus limits cross-industry fit, though backend and cloud skills remain transferable.
Multiple explicit years and mandatory AI, Python, Kubernetes, and backend requirements raise screening strictness.
Design, develop, test, deploy, and operate production-grade backend services and AI-enabled automation capabilities focused on network validation.
Build agentic workflows involving LLMs that interact with tools, APIs, execution engines, and network environments to perform validation tasks.
Troubleshoot complex multi-layer issues and mentor engineers while contributing to technical designs and engineering practices.
Minimum 5 years professional software engineering experience in backend, full-stack, automation, or distributed systems.
At least 3 years of production-level Python development experience; experience with Go, Rust, TypeScript, React, Node.js, .NET, PostgreSQL, Redis, Kafka is relevant.
Minimum 2 years experience with Generative AI, LLMs, Agentic AI, AI tool integrations, or AI-enabled application development.
At least 2 years hands-on experience with Kubernetes, Docker, CI/CD, cloud-native deployment, or production software operations.
Experienced in building distributed workflows, REST APIs, and event-driven applications, preferably with multi-agent system design patterns like planner/executor models.
Familiar with AI/agent frameworks such as LangChain or LangGraph and with AI integrations including MCP or A2A capabilities.
Background in network automation, device connectivity, testing/validation platforms, or infrastructure automation to align with Cisco IQ and Validation focus.