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Software Engineering Technical Leader (AI & Agentic AI Architect)

Software Engineer • On-site • Full-time • Hungary Budapest, Hungary

A senior software engineering leadership role at Cisco responsible for cloud-native platforms and AI capabilities, turning emerging agentic AI technology into dependable production systems on a secure AWS/Kubernetes architecture.

Responsibilities

  • ▹Architect and build AI and agentic AI solutions, including agent orchestration, tool integration, retrieval augmented generation, and autonomous workflows
  • ▹Design and operate secure microservice applications on AWS and Kubernetes, applying a security-first approach across application, API, container, identity, and data layers
  • ▹Establish architectural patterns and engineering practices that other teams adopt
  • ▹Lead design and code reviews and mentor engineers

Requirements

  • ▹Bachelor's + 12 years of related experience, or Master's + 8 years of related experience, or equivalent related work experience
  • ▹8+ years of professional software engineering experience delivering production applications in Python, Java, Go, or JavaScript/TypeScript
  • ▹5+ years of experience designing, deploying, and operating microservice-based applications on a public cloud platform such as AWS
  • ▹3+ years of experience running containerized workloads in Kubernetes in a production environment
  • ▹2+ years of hands-on experience building applications with generative AI or large language models, including at least one production system using 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 building enterprise-scale agentic AI platforms, including agent orchestration and multi-agent workflows
  • ▹Hands-on experience with agent frameworks and protocols such as LangGraph, LangChain, Model Context Protocol, or Semantic Kernel
  • ▹Experience with AI security, guardrails, policy enforcement, evaluation, and observability for AI systems in production
  • ▹Proven ability to mentor engineers and influence architecture decisions across organizational boundaries without direct authority

Soft skills

A culture of direct, technical debate where the better argument winsMentoring and knowledge-sharing with fellow engineers

About the company

The team builds the cloud-native platforms and AI capabilities that Cisco engineers, customers, and the wider developer community rely on every day; it is a small, senior group of architects and engineers who work closely with product, security, and platform teams and own their work from architecture through live operations.

Education: Informatika, mérnöki vagy mesterséges intelligencia / gépi tanulás terület, mesterdiploma előny

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