Software Engineer, Cloud Engineer - Software, AI Engineer (Applied​/Software)

The application window is expected to close on: 10/29/2026

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Meet the Team

Cisco’s Customer Experience (CX) engineering organization is a global team of experts dedicated to delivering world-class digital experiences by building advanced AI applications and capabilities through an industry leading platform centric approach with Cisco IQ. These capabilities provide high value directly to our customers and partners and empower our internal teams to deliver superior, data-driven services. We pride ourselves on a culture that thrives on customer-centricity and technical rigor, solving complex challenges leveraging AI/ML solutions.

Your Impact

As a Software Engineer in Cisco’s CX Engineering organization, you will play a critical role in shaping the future of AI-driven solutions across our product and services portfolio. Leveraging your expertise in software engineering and AI/ML technologies, you will build robust, scalable systems that solve real-world business challenges and deliver exceptional value for customers and partners.

• Development:Design, develop, and maintain Python-based applications, scalable RESTful APIs, and microservices that seamlessly integrate AI/LLM capabilities.
• Infrastructure & Dev Ops:Implement CI/CD pipelines (Jenkins, Git Hub Actions) and deploy containerized applications using Docker and Kubernetes across major cloud platforms (AWS, Azure, or GCP).
• Quality & Reliability:Ensure operational stability through comprehensive Pytest suites, rigorous code reviews, post-mortems, and on-call rotations.
• Collaboration:Partner with cross-functional teams, including design and product management, to translate requirements into high-quality, delivered features.

Minimum Qualifications

• Bachelor's with 5+ years of related experience, or Master’s with 3+ years of related experience.
• Experience in Python development.
• Experience with Docker for containerization and Kubernetes for orchestration and CI/CD pipelines.
• Experience leveraging AI-assisted development environments, such as Git Hub, or CoPilot or Cursor to accelerate the SDLC while maintaining code quality standards.
• Experience in RESTful API design and relational data modeling.

Preferred Qualifications

• AI/ML Expertise: Experience with frameworks such as PyTorch, Tensor Flow, or Hugging Face Transformers. Experience with LLM APIs (OpenAI, Anthropic, etc.) or open-source models.
• Data & Search: Knowledge of vector databases (eg: Pinecone, Weaviate, ChromaDB) and semantic search.
• Tools & Practices: Experience with Git, secrets management (Hashi Corp Vault), and object storage (S3/MinIO).
• Soft Skills: Excellent communication and collaboration skills; experience working in Agile/Scrum environments and a commitment to creating comprehensive technical documentation.
• Networking knowledge: Cisco networking knowledge is a strong plus.

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.

The starting salary range posted for this position is $ to $ and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset,…