Applied AI Engineer: Scalable ML for Networking & Security

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

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with Cisco matching

Paid parental leave

Paid time off & holidays

Job summary

Cisco Systems is seeking a Software Engineer to develop production-ready AI applications for networking and security, including data pipelines, LLM applications, and operational analytics. You will design scalable ETL/ELT workflows, build and monitor AI systems, and collaborate with senior engineers on dashboards and live services.

The role emphasizes Python/SQL, data structures and software engineering principles, with opportunities to work on cutting-edge generative AI and cloud-based data

Qualifications

• Meet one of the listed degrees or programs with relevant work experience.
• Strong programming skills in Python and SQL.
• Knowledge of data structures, algorithms, software engineering, and object-oriented design.

Responsibilities

• Design ETL/ELT workflows in Python and SQL across cloud and distributed data platforms.
• Build, evaluate, and monitor production LLM, RAG, and ML applications for automated troubleshooting and incident analysis.
• Partner with senior engineers to write maintainable code, build dashboards, participate in design reviews, and support live production services.

Skills

Python

SQL

Data structures

Algorithms

Object-oriented design

Education

Master's degree (0 years)

Bachelor's degree (2 years)

Relevant certificate / boot camp / program

High school diploma or equivalent with 4 years experience

Tools

LangChain

Neo4j

AWS

Snowflake

Airflow

PySpark

TensorFlow

OpenCV

React

Job description

Cisco Systems is seeking a Software Engineer to develop production-ready AI applications for networking and security, including data pipelines, LLM applications, and operational analytics. You will design scalable ETL/ELT workflows, build and monitor AI systems, and collaborate with senior engineers on dashboards and live services.

The role emphasizes Python/SQL, data structures and software engineering principles, with opportunities to work on cutting-edge generative AI and cloud-based data