AI Platform Engineer
Tasks
- Build backend services for AI data access
- Build runtime systems for LLM inference
- Create AI orchestration layers for LLM tool integration
- Create evaluation and feedback pipelines
- Debug and tune performance for AI platform services
- Develop APIs and microservices for AI capabilities
- Develop data ingestion and transformation pipelines
- Implement RAG pipelines with embeddings and vector databases
- Manage contextual data flows and session state
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Azure | Caching | Cloud Native | Data Pipelines | Databases | Docker | ETL | Embeddings | GCP | Go | Information Retrieval | Java | Kubernetes | LLM Inference | Logging | Microservices | Monitoring | Python | RAG | TypeScript | Vector Databases
Education
N/A
Roles
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