AI Solution Architect Engineer, Consumer Personal Systems
TWD 480K-612K (estimate) Senior-level Full Time
Tasks
- Architect offline capable support chatbot
- Build RAG pipelines
- Build edge inference pipelines
- Build evaluation and regression testing frameworks
- Deploy LLMs with quantization and model optimization
- Design AI automation solutions
- Design embedding chunking and reranking pipelines
- Develop intelligent agents
- Ensure stability safety and performance across devices
- Evaluate LLMs across cloud on prem and edge
- Implement secure enterprise identity and access models
- Integrate system logs telemetry OS events and hardware signals
- Profile and optimize latency throughput and memory usage
- Set up Docker and CI CD pipelines for model versioning
Perks/Benefits
- N/A
Skills/Tech-stack
4-bit | AKS | Asyncio | Audit Logging | Azure DevOps | Azure OpenAI | C# | C++ | CI/CD | CUDA | CUDA acceleration | CUDA graph | CUDA kernels | CUDA streams | Chain-of-Thought | Cloud deployment | DirectML | Distillation | Docker | Edge inference | Elastic KNN | FP8 | Faiss | FastAPI | GitHub Actions | Go | Hugging Face | Hugging Face Transformers | INT8 | JWT | Kubernetes | LCEL | LLM | Langchain | Llamaindex | Managed Identity | Milvus | OAuth2 | ONNX Runtime | Observability | On-device AI | On-prem | OpenAI API | OpenVINO | PEFT | PGVector | Pruning | Python | Quantization | RAG | RBAC | Retrieval-Augmented Generation | Rust | Self-Consistency | Telemetry | TensorRT | Unified Memory | Vector Databases
Education
N/A
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