
Ai Support Engineer
4 days ago
AI Support Engineer
**Responsibilities**:
- Instrumenting and maintaining effective monitoring and alerting for our AI services including LLM Observability.
- Implementing adequate Incident Management and Post Mortem processes.
- Effectively escalate issues to AI engineering teams when appropriate.
- Authoring and maintaining support processes, documentation, and guides.
- Collaborating with quality assurance and engineering teams to drive improvements in our AI products.
- Contribute to the continuous improvement of our support processes, tooling and methodologies.
- Stay up-to-date with the latest advancements in AI/LLM technologies.
**Required Skills and Experience**:
- Proven experience working with OpenAI, Anthropic, and other vendor model offerings.
- Hands-on experience with Retrieval Augmented Generation and Vector databases including Redis, Elastic, Pinecone, etc.
- Proficiency in programming languages such as Python or Java.
- Familiarity with linux and container runtime environments like Kubernetes.
- Expertise in implementing and improving devops release pipelines including familiarity with popular SDLC tools.
- Expertise in implementing effective alerting processes with Opsgenie or similar.
- Proficiency with instrumenting monitoring with Datadog or similar.
- Excellent problem-solving and analytical skills with a detail oriented approach.
- Demonstrates a clear sense of ownership in driving issues to resolution.
- Strong communication and collaboration skills.
**Desired Skills and Experience**:
- Experience with cutting edge AI Performance Monitoring instrumentation techniques.
- Experience with solving Vector Database challenges at scale, including embedding/retrieval performance and availability.
- Familiarity with various AI/LLM models and architectures with an ability to address issues like model response latency or time to first token.
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