Software Engineer - AI & Agentic Systems
Core
Design, build, and operate practical AI tools for information retrieval, task automation, and workflow integration within Cisco's networking infrastructure.
Role type
Senior IC software engineer (AI & Agentic Systems)
Builds
AI-powered document query systems, Model Context Protocol (MCP) servers, agentic tools, and developer utilities for networking domains.
Domain
Networking infrastructure, AI/ML, cloud platforms
Deliverable
production ML models
Required skills
Software development, cloud platforms, containerization (Docker/Kubernetes), CI/CD pipelines, source-control workflows, AI tool-calling architectures, Model Context Protocol (MCP) servers/clients, agent interfaces
Preferred skills
Agent frameworks, LLM tool-calling architectures, vector databases, semantic search, RAG pipelines, OpenAI/Anthropic model APIs, open-source model inference platforms (vLLM, Ollama), LLM fine-tuning, switch telemetry analysis, network simulation environments, P4 programming
Technologies
Docker, Kubernetes, vLLM, Ollama, P4
Responsibilities
Design and build AI-powered document query and knowledge-retrieval systems; Develop user-facing Model Context Protocol (MCP) servers and agentic tools; Automate engineering workflows and integrate AI capabilities; Create specialized AI models and developer utilities for networking domains.
Seniority
Senior, hands-on IC
