Backend / Platform Engineer, AI Analytic Engines
Tasks
- Architect low latency evaluation services
- Configure vector database pipelines for RAG use cases
- Create pluggable evaluator frameworks
- Implement back pressure and graceful degradation
- Implement runtime intervention layer for AI risk enforcement
- Integrate evaluation engine with streaming data pipelines
- Optimize micro batching and streaming for LLM and embedding calls
- Use observability with OpenTelemetry
Perks/Benefits
- N/A
Skills/Tech-stack
Asyncio | CI/CD | Containers | Embeddings | Faiss | FastAPI | GRPC | Go | Kafka | Kubernetes | Multithreading | OpenTelemetry | PGVector | Pulsar | Python | Qdrant | Queue based backpressure | RAG | Redis Streams | Serverless | Vector Databases | Weaviate
Education
N/A
Roles
Backend | Backend Engineer | Engineer | Platform | Platform Engineer
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