Senior AI Engineer
Tasks
- Build LLM orchestration layer
- Deploy and serve models for low latency inference
- Deploy open source models on GPUs
- Design event driven media flows
- Design real time conversational pipeline
- Fine-tune and train models
- Implement prompt versioning and evaluation
- Implement webhooks and post session pipelines
- Integrate third party services end to end
- Make backend architecture decisions with founders
Perks/Benefits
- N/A
Skills/Tech-stack
Asyncio | Backpressure | Batching | Capacity Planning | Cost Control | Event Driven | Event-driven architecture | Fine Tuning | GPU Inference | HTTP | KV cache | LLM API | Latency optimization | Message Queue | Model Fine-tuning | Model Training | Observability | Open Source | Open-source Models | Postgres | Profiling | Prompt engineering | Prompt versioning | Python | Quantization | Redis | Retry logic | Streaming | Structured Output | Throughput Optimization | Tracing | WebSocket
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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