Applied AI Engineer for Networking & Security

020 Cisco Systems, Inc.; San Francisco (CA); On-site; USD 165,000 - 211,000; Full time

Benefits offered by this job

Medical/Dental/Vision insurance

401(k) with company match

Paid parental leave

Disability and life insurance

Job summary

Cisco Systems, Inc. is seeking a Software Engineer to develop production-ready AI applications for networking and security. You will design data pipelines, ETL/ELT workflows, and RAG/LLM applications, transforming telemetry into actionable insights.

Collaboration with experienced engineers will build robust, scalable solutions for live environments. Ideal candidates have strong Python/SQL skills and a background in data engineering, ML workflows, and cloud technologies.

Qualifications

• Meet one of the listed degree paths completed within the past 3 years or expected within 12 months.
• Strong programming skills in Python and SQL; solid data structures and OO design.
• Experience with AI/ML workflows, data pipelines, and cloud platforms is preferred.

Responsibilities

• Build scalable data pipelines and AI systems for networking and security telemetry.
• Design ETL/ELT workflows across cloud and distributed data platforms.
• Develop production LLM/RAG/ML apps for automated troubleshooting and anomaly detection.
• Collaborate with senior engineers on maintainable code and dashboards.

Skills

Python

SQL

Object-oriented design

Data structures

Education

Master's degree

Bachelor's degree

Educational/workforce program

High school diploma

Tools

LangChain

Neo4j

AWS

Snowflake

Airflow

PySpark

TensorFlow

OpenCV

React

Job description

Cisco Systems, Inc. is seeking a Software Engineer to develop production-ready AI applications for networking and security. You will design data pipelines, ETL/ELT workflows, and RAG/LLM applications, transforming telemetry into actionable insights.

Collaboration with experienced engineers will build robust, scalable solutions for live environments. Ideal candidates have strong Python/SQL skills and a background in data engineering, ML workflows, and cloud technologies.