Senior AI Engineer – Data and AI
Camas, WA, United States
R
USD 125K-165K Senior-level Full Time Found 3d ago
Tasks
- Architect LLM pipelines
- Build and deploy AI solutions
- Design generative AI models
- Develop APIs and microservices
- Ensure AI compliance and explainability
- Integrate AI into enterprise systems
- Monitor and optimize model performance
Perks/Benefits
Skills/Tech-stack
AI model governance | API frameworks | CI/CD | Cloud Native | Cloud-native development | Containerization | Distributed Training | GPU Optimization | GPU frameworks | GPU-accelerated training | Kubernetes | Language Models | Large Language Models | Microservices | Model Governance | NEMO | NVIDIA CUDA | NVIDIA Rapids | Native Development | Nim | Python | Retrieval-Augmented Generation | Scalable architectures | VLLM
Education
N/A
Roles
Language: en |
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