Sr Software Engineer - AI / Agentic Automation

Job Summary

Meet the Team

The Cisco IQ and Validation team is developing AI-powered capabilities that transform how network validation and automation are performed. Our engineers work across Agentic AI, LLMs, MCP, A2A, backend services, workflow orchestration, and cloud-native technologies to build production-ready solutions. We are a collaborative global team of engineers, architects, AI specialists, and network automation experts solving complex technical problems together. This is an opportunity to work hands-on with emerging AI technologies while building software that directly contributes to the evolution of Cisco IQ and Validation.

Responsibilities

• Design, develop, test, deploy, and operate production-grade backend services and AI-enabled automation capabilities for Validation.
• Build agentic workflows where LLMs interact with tools, APIs, execution engines, and network environments to perform validation activities.
• Develop and integrate MCP and A2A capabilities, agent routing, tool invocation, workflow orchestration, approval-gated actions, and streaming execution events.
• Troubleshoot complex issues across application, API, database, workflow, infrastructure, and runtime layers to ensure reliable production operation.
• Mentor engineers and contribute to technical designs, engineering practices, and continuous improvements across the team.

Minimum Qualifications

• 5+ years of professional software engineering experience in backend, full-stack, automation, or distributed systems development.
• 3+ years of production-level Python development experience. Experience with Go, Rust, TypeScript, React, Node.js, .NET, PostgreSQL, Redis, Kafka, or similar technologies.
• 2+ years of experience building REST APIs, database-backed services, distributed workflows, or event-driven applications.
• 2+ years of experience with Generative AI, LLMs, Agentic AI(multi-agent systems), AI tool integrations, or AI-enabled application development.
• 2+ years of hands-on experience with Kubernetes, Docker, CI/CD, cloud-native deployment, or production software operations.

Preferred Qualifications

• Experience building multi-agent systems, including planner/executor patterns, agent handoffs, state management, retries, checkpointing, or durable workflows.
• Experience implementing MCP or A2A integrations, including tool discovery, schemas, authentication, context propagation, streaming, or approval workflows.
• Experience with LangChain, LangGraph, or similar AI/agent development frameworks.
• Experience with network automation, device connectivity, testing/validation platforms, or infrastructure automation.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.