Note: The job is a remote job and is open to candidates in USA. DeWinter Group is recruiting an AI Reliability Engineer for a 12-month contract engagement with a client that specializes in AI testing and Generative AI solutions. The role is responsible for ensuring the reliability, availability, and performance of mission-critical AI systems through SLO definition, automated resilience measures, incident response, stress testing, and serverless optimization.
Responsibilities
- 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
- 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
Benefits
- Remote work
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