The application window is expected to close on: 11/08/2026
This is a hybrid role that requires you to be in the office three days per week at either Cisco’s San Jose, CA or RTP, NC location, depending on your location.
Meet the Team
The Commerce Quote to Order team enables Cisco’s go-to-market strategy with an exceptional commercial platform, focusing on hardware, software subscription, and services through data-driven solutions. At Cisco Commerce, our software engineers develop the next-generation CPQ (Configure Price and Quote) Software solutions that manage $60+ billions of Cisco revenue. We handle substantial data with multiple flows, requiring versatile and enthusiastic engineers to solve the latest challenges and push technology forward. Our teams continuously iterate, solve problems, and collaborate to empower our customers and partners.
Your Impact
As a Technical Systems Engineer with Commerce Product Management & Engineering (part of Cisco IT), You will be at the forefront of sustaining, monitoring, and troubleshooting critical enterprise AI capabilities—including generative AI assistants, conversational agents, and foundational LLM platform infrastructure.
You will be a bridge between the core AI , platform engineering teams, and end-users by diagnosing complex operational issues across Retrieval-Augmented Generation (RAG) pipelines, vector search indexing, model inference endpoints, prompt orchestration layers, and custom Python integrations.
You will collaborate on multi-functional projects to identify areas for improvement. You will analyze internal processes, data, and problems, and identify benefits from new capabilities using emerging digital and cloud technologies.
Responsibilities:
Act as the main point of contact for production support, managing and resolving tickets across various business units
Serve as the primary technical escalation point for production issues impacting AI Assistants, conversational interfaces, and foundational AI capabilities.
Triage, debug, and resolve incidents related to model latency, context overflow, prompt drift, and upstream API failures.
Monitor agent workflows, multi-tool function calling, and orchestration layers to maintain high availability and adherence to strict operational SLAs.
Debug and maintain Python-based AI frameworks, microservices, MCPs, and REST API endpoints.
Develop custom automation scripts, health-check utilities, and synthetic monitoring tests in Python to proactively identify failure modes.
Monitor AI telemetry, token consumption, error rates, and latency metrics using observability platforms (e.g., Langfuse, LangSmith, Datadog, Splunk).
Ensure timely and effective resolution of issues while maintaining a high level of customer satisfaction
Document processes, resolutions, and recurring issues for knowledge management and training purposes.
Minimum Qualifications
Bachelor’s degree in Engineering with 6–7 years of relevant professional experience.
3+ years of experience using or supporting one or more of the following technologies: Java, SQL, PL/SQL, Oracle, MongoDB, Snowflake, AngularJS, Python, APIs (HTTP/RESTful web services), Elastic, or Kibana.
3+ years in Technical Support, SRE, Software Engineering, with at least 1–2 years dedicated to supporting AI/ML or LLM-driven applications.
Preferred Qualifications
Excellent English communication skills to collaborate effectively with global teams.
Strong Analytical and troubleshooting Skills.
Pourquoi Cisco?
Chez Cisco, nous révolutionnons la façon dont les données et les infrastructures se connectent et protègent les entreprises à l’ère de l’intelligence artificielle et au-delà. Nous innovons sans crainte de manquer quelque chose depuis 40 ans pour créer des solutions qui optimisent la collaboration entre les humains et la technologie dans les mondes physiques et numériques. Ces solutions offrent aux clients une sécurité, une visibilité et des analyses inégalées sur l’ensemble de l’empreinte…