Software Engineer, UI, AI & Agentic AI

Stack

Responsibilities

• ▹Build and maintain secure microservice applications and REST APIs on AWS and Kubernetes, owning the work 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 practices across APIs, identity, secrets and vulnerability fixes
• ▹Write automated unit, integration and functional tests, and contribute to CI/CD and monitoring

Requirements

• ▹Bachelor's degree + 5 years of related experience, or Master's degree + 3 years of related experience, or equivalent related work experience
• ▹2+ years of professional software engineering experience delivering production code in Python, Java, Go, or JavaScript/TypeScript
• ▹1+ years of experience developing microservices, REST APIs, or cloud-based applications on a public cloud platform such as AWS
• ▹hands-on experience developing or deploying containerized applications in Kubernetes
• ▹hands-on experience building applications with generative AI or large language models, including retrieval augmented generation, embeddings, or tool and function calling

Nice to have

• ▹Master's degree in Computer Science, Engineering, or Artificial Intelligence and Machine Learning
• ▹experience developing AI-powered applications or AI agents, and familiarity with vector databases, RAG pipelines and LLM APIs
• ▹familiarity with AI frameworks such as LangChain, LangGraph, or Semantic Kernel, and with Model Context Protocol or comparable AI-to-tool integration technologies
• ▹familiarity with AI security, guardrails, responsible AI, or AI governance practices

Soft skills

About the company

The team builds and runs the cloud-native services and AI capabilities that Cisco engineers, customers and the wider developer community use every day, taking generative and agentic AI past the demo stage and into production, where reliability and security decide whether the work matters. The team pairs experienced architects with engineers who are still growing their depth, and code review here is a teaching exercise rather than a gate — junior engineers get senior engineers close at hand, real ownership of what they build, and room to ask questions without penalty.