Software Engineer - AI & Agentic AI

About the role

Cisco's team builds and runs the cloud-native services and AI capabilities used daily by Cisco engineers, customers and the developer community. It takes generative and agentic AI from demos into production, where reliability and security matter. The team pairs experienced architects with engineers still growing their depth, with senior engineers nearby and real ownership of what you build.

Key responsibilities

• Build and maintain secure microservice applications and REST APIs on AWS and Kubernetes, from requirements through testing, deployment and support.
• Develop and integrate AI capabilities, including LLM-based features, agents, retrieval augmented generation and tool and function calling.
• Apply secure coding practice across APIs, identity, secrets and vulnerability fixes.
• Write automated unit, integration and functional tests, and contribute to CI/CD and monitoring.

Required profile

• Bachelor's degree plus 5 years of related experience, or Master's degree plus 3 years, or equivalent experience.
• 2+ years of professional software engineering experience delivering production code in Python, Java, Go or JavaScript/TypeScript.
• 1+ year of experience developing microservices, REST APIs or cloud applications on a public cloud such as AWS.
• Hands-on experience with containerized applications in Kubernetes.
• Hands-on experience with generative AI or large language models, including RAG, embeddings or tool and function calling.

Preferred qualifications

• Master's degree in Computer Science, Engineering or AI and Machine Learning.
• Experience with AI agents, vector databases, RAG pipelines and LLM APIs.
• Familiarity with LangChain, LangGraph, Semantic Kernel, Model Context Protocol or similar AI-to-tool technologies.
• Familiarity with AI security, guardrails, responsible AI or AI governance.