AI Reliability Engineer; AI SRE
Job in
Long Beach, Los Angeles County, California, 90801, USA
Listed on 2026-05-30
Listing for:
DeWinter Group
Contract
position Listed on 2026-05-30
Job specializations:
-
IT/Tech
Cloud Computing, Systems Engineer, SRE/Site Reliability, AI Engineer
Job Description & How to Apply Below
Title: AI Reliability Engineer (AI SRE)
Job Type: Contract
Contract Length: 12 Months
Pay Range: $50/hr – $175/hr
Start Date: ASAP
Location: Remote
About the Opportunity:Our client, a leader in AI testing and Generative AI solutions, is looking for a skilled AI Reliability Engineer (AI SRE) to join their team for a 12-month engagement. This project involves ensuring the reliability, availability, and performance of mission‑critical AI systems by defining SLOs, implementing automated resilience measures, and leading incident response. This is a high‑impact role that requires a self‑motivated professional who can hit the ground running and deliver results quickly.
Key Responsibilities & Deliverables:- Defining and maintaining Service Level Objectives (SLOs) for AI inference latency and availability.
- Building automated "circuit breakers" and fallback logic (e.g., switching to a smaller model if the primary fails).
- Leading incident response and root-cause analysis (RCA) for complex AI system failures.
- Developing stress‑testing and chaos engineering scenarios specifically for AI agent swarms.
- Optimizing the "cold start" and scaling time for serverless AI functions.
Skills & Experience:
- 4+ years of experience in Site Reliability Engineering (SRE).
- Deep expertise in system monitoring, incident management, and cloud resilience. This isn't a learning role—you need to be a subject matter expert.
- Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
- Experience with Python/Go, Kubernetes, and observability stacks (Datadog, New Relic).
- Strong communication skills to provide clear and concise status updates to the project team.
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