AI Platform Engineer
Tasks
- Build and improve RAG pipelines
- Build and operate internal AI application platform
- Build resilient systems with fallback and degradation mechanisms
- Define and monitor latency reliability and retrieval quality objectives
- Design well documented internal APIs
- Develop and maintain AI services and APIs
- Implement monitoring tracing logging and quality metrics
- Implement prompt management versioning evaluation and testing frameworks
- Integrate model serving endpoints
- Manage service lifecycle deployment rollout versioning and deprecation
- Manage vector database performance scalability and data freshness
- Participate in operational support and incident response
- Support agentic workflows
Perks/Benefits
Skills/Tech-stack
API Development | AWS | IAM | Kubernetes | LLM Evaluation | Language Models | Large Language Models | Logging | Model Serving | Monitoring | Prompt engineering | Python | RAG | Retrieval systems | Service Deployment | Service reliability | Tracing | Vector Databases
Education
N/A
Roles
AI | AI Platform Engineer | Engineer | Platform | Platform Engineer
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