Level

Cisco

Software Engineer

AI in this role

openailangchainbedrockazure-openai

Meet the Team

This Cisco team drives all Lifecycle processes and systems anchored on delivering the best customer and partner experience. Our scope includes Market-to-Lead, Lead-to-Opportunity, Opportunity-to-Booking, Order-to-Cash, Onboard-to-Optimize, Escalate-to-Resolve, Renew-to-Booking, and Support-to-Advocacy. We offer a unique opportunity for dedicated, passionate, and highly creative engineers to have a wide-ranging impact on our development activities.

Your Impact

As a Software Engineer, you will serve as the critical architect bridging the gap between advanced AI/ML development and mission-critical IT Operations. You will be responsible for engineering and optimizing intelligent solutions that automate complex IT workflows, mitigate operational risk, and enable precise, automated root cause analysis. By operationalizing machine learning at scale, you will transform IT environments—reducing manual overhead, sharpening diagnostic accuracy, and accelerating operational velocity to ensure the uncompromising reliability and scalability of our global applications.

What You’ll Do

·       Architect & Innovate: Design, deploy, and maintain high-performance machine learning pipelines tailored to support mission-critical AI Technologies initiatives.

·       Automate & Optimize: Drive operational efficiency by automating routine tasks and building robust CI/CD pipelines to streamline deployment workflows.

·       Collaborate Cross-Functionally: Partner closely with Data Scientists, Software Engineers, and Infrastructure/Operations teams to integrate AI-driven intelligence into existing IT ecosystems seamlessly.

·       Analyze & Interpret: Evaluate complex network performance data to uncover actionable trends, detect anomalies, and identify strategic opportunities for system optimization.

·       Ensure System Reliability: Develop and manage proactive monitoring and alerting frameworks to maintain peak system health.

·       Resolve & Refine: Troubleshoot and remediate complex issues within AI Technologies environments, ranging from configuration challenges to systemic service disruptions.

·       Measure Success: Track and report on key performance indicators (KPIs) to quantify the business impact and efficacy of AI Technologies implementations.

·       Stay Ahead of the Curve: Continuously explore emerging advancements in AI and machine learning, applying cutting-edge technologies to drive perpetual improvement.

Minimum Qualifications

·       Bachelor’s degree in Computer Science, Engineering, or a related field with 2-4 years of relevant experience.

·       Proficiency in scripting languages (e.g., Python) and modern automation frameworks.

·       Proven experience with CI/CD pipelines and infrastructure automation.

·       Solid foundational knowledge of machine learning concepts and their practical application in real-world systems.

·       Strong analytical and problem-solving capabilities with a demonstrated ability to identify trends in complex datasets.

·       Solid experience with Agile development process and ways of working – Jira, Github, Source Control Management.

·       Excellent communication and interpersonal skills, with the ability to thrive in diverse, cross-functional technical teams.

Preferred Qualifications

·       AI Systems & Infrastructure: Direct experience with AI Technologies platforms and network assurance solutions, complemented by hands-on proficiency in cloud-based AI infrastructure, specifically AWS, Amazon Bedrock, and Azure OpenAI.

·       Cloud-Native & Deployment: Demonstrated familiarity with cloud-native technologies and container orchestration, including Kubernetes and Docker, alongside proven experience in the end-to-end design and deployment of scalable machine learning models in production environments.

·       Technical Expertise: Comprehensive experience with AI-native development tools and intelligent agent architecture, including LangChain, LangSmith, GraphQL, FastAPI, MuleSoft Agent Broker, and related LLM orchestration and API integration technologies.

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. 

How we score this

Software Engineer at Cisco scores 67 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

OpenAILangChainBedrockAzure OpenAI

Questions you could be asked

  1. What's a project where you used OpenAI hands-on?
  2. Walk me through how you've used LangChain in your day-to-day work.
  3. What are the limits of Bedrock that you've run into, and how did you work around them?
  4. What's a project where you used Azure OpenAI hands-on?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: OpenAI, LangChain, Bedrock, and Azure OpenAI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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