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Cisco·Networking·7 days ago
7 days ago

Software Engineering Technical Leader

Budapest, HungarySenior · 8+ yearsBackend Engineer

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Must-have skills for this role

  • aws
  • kubernetes
  • generative ai
  • large language models

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Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Architect and build AI and agentic AI solutions, including agent orchestration, tool integration, retrieval augmented generation, and autonomous workflows, so that emerging capability reaches customers as dependable product rather than experiment.
  • Design and operate secure microservice applications on AWS and Kubernetes, applying a security-first approach across application, API, container, identity, and data layers to protect enterprise data as system autonomy increases.
  • Establish architectural patterns and engineering practices that other teams adopt, raising the quality and speed of AI delivery well beyond this group.
  • Lead design and code reviews and mentor engineers, so that sound technical judgment scales further than any one person can reach.

What they're looking for

  • Bachelors + 12 years of related experience, or Masters + 8 years of related of related experience, or equivalent related work experience.
  • 8+ years of professional software engineering experience delivering production applications in one or more of 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, evidenced through patents, publications, open-source contributions, or major engineering initiatives.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Software Engineering Lead / AI & Agentic AI Architect


Meet the Team

Our team builds the cloud-native platforms and AI capabilities that Cisco engineers, customers, and the wider developer community rely on every day. We take emerging AI and agentic technology and turn it into production systems rather than demonstrations, which is where most organizations still stall. The team is a small and senior group of architects and engineers who work shoulder to shoulder with product, security, and platform teams, and who own their work from architecture through live operations. Debate here is direct and technical, and the person with the better argument wins regardless of title. Agentic AI is moving faster than any technology this team has worked with, and the decisions made here shape how Cisco adopts it safely.


Your Impact

Architect and build AI and agentic AI solutions, including agent orchestration, tool integration, retrieval augmented generation, and autonomous workflows, so that emerging capability reaches customers as dependable product rather than experiment. Design and operate secure microservice applications on AWS and Kubernetes, applying a security-first approach across application, API, container, identity, and data layers to protect enterprise data as system autonomy increases. Establish architectural patterns and engineering practices that other teams adopt, raising the quality and speed of AI delivery well beyond this group. Lead design and code reviews and mentor engineers, so that sound technical judgment scales further than any one person can reach. Success in this role looks like agentic systems running in production with clear guardrails, measurable reliability, and engineers across the organization building on the patterns you set.


Minimum Qualifications

  • Bachelors + 12 years of related experience, or Masters + 8 years of related of related experience, or equivalent related work experience.
  • 8+ years of professional software engineering experience delivering production applications in one or more of 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.

Preferred Qualifications

  • 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, evidenced through patents, publications, open-source contributions, or major engineering initiatives.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

Networking

Company

CiscoNetworking
Budapest, Hungary

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Cisco's careers site·first seen 15 Sept 2026·last verified 22 Sept 2026·How we source jobs

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