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Technical Systems Engineer (Hybrid)

Posted today

cisco systemsSan Jose (CA)

SENIORITY

Senior

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About the role

Overview: In this role you will sustain, monitor, and troubleshoot critical enterprise AI capabilities within Cisco’s Commerce platform. You’ll bridge core AI and platform teams with end-users to diagnose complex issues across RAG pipelines, vector search, and model endpoints. You’ll contribute to multi-functional projects, analyze processes and data, and drive improvements using cloud technologies. This is an opportunity to shape next-generation AI tooling while supporting high-availability operations in a global environment. Compensation / Benefits medical, dental and vision insurance 401(k) with company matching paid parental leave paid time off and sick time volunteer days restricted stock units grants
Responsibilities: Serve as the main production support contact across business units Act as the primary escalation point for AI assistant and foundational AI issues 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 ensure high availability and SLA adherence Debug and maintain Python-based AI frameworks, microservices, MCPs, and REST endpoints Develop automation scripts and health-check utilities in Python; create synthetic monitoring tests Monitor AI telemetry and latency metrics using observability platforms (e.g., Langfuse, LangSmith, Datadog, Splunk) Document resolutions and recurring issues for knowledge management and training
Key requirements: Bachelor’s in Engineering with 6–7 years of relevant experience 3+ years with Java, SQL, PL/SQL, Oracle, MongoDB, Snowflake, AngularJS, Python, APIs (HTTP/REST), Elastic, or Kibana 3+ years in Technical Support, SRE, Software Engineering, with 1–2 years in AI/ML or LLM-driven applications Excellent English communication skills Strong analytical and troubleshooting skills Java SQL PL/SQL Oracle

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