Hybrid AI Systems Engineer – Enterprise AI Ops

Cisco Systems, Inc; San Jose (CA); Hybrid; USD 131,000 - 166,000; Full time

Job summary

Cisco is hiring for a Technical Systems Engineer on the Commerce Product Management & Engineering team. You will sustain, monitor, and troubleshoot critical enterprise AI capabilities, including generative AI assistants, conversational agents, and LLM platform infrastructure.

You will diagnose complex operational issues across RAG pipelines, vector search indexing, and model inference endpoints while collaborating with platform engineering and end-users to drive improvements with Python

Qualifications

• Bachelor's degree in Engineering; 6–7 years of relevant experience.
• 3+ years using or supporting Java, SQL, PL/SQL, Oracle, MongoDB, Snowflake, AngularJS, Python, APIs, Elastic or Kibana.
• 3+ years in Technical Support, SRE, or Software Engineering with AI/ML or LLM experience.

Responsibilities

• Act as the main point of contact for production support across business units.
• Serve as primary technical escalation point for AI assistants and foundational AI capabilities.
• Triage, debug, and resolve incidents related to model latency, context overflow, and prompt drift.
• Monitor workflows, multi-tool function calling, and orchestration layers for high availability.
• Debug and maintain Python-based AI frameworks, microservices, MCPs, and REST endpoints.
• Develop Python automation scripts and health-check utilities to identify failures.
• Monitor AI telemetry and latency using observability platforms (Datadog, Splunk, Langfuse).
• Ensure timely resolution while maintaining high customer satisfaction.
• Document processes, resolutions, and recurring issues for knowledge sharing.

Skills

Java

SQL

PL/SQL

Oracle

MongoDB

Snowflake

AngularJS

Python

APIs

Elastic

Kibana

RESTful APIs

AI/ML

Education

Bachelor's degree in Engineering

Tools

Datadog

Splunk

Langfuse

LangSmith

Job description

Cisco is hiring for a Technical Systems Engineer on the Commerce Product Management & Engineering team. You will sustain, monitor, and troubleshoot critical enterprise AI capabilities, including generative AI assistants, conversational agents, and LLM platform infrastructure.

You will diagnose complex operational issues across RAG pipelines, vector search indexing, and model inference endpoints while collaborating with platform engineering and end-users to drive improvements with Python