Senior network engineer
Ridgefield Park, NJ, United States
USD 148K-219K (estimate) Senior-level Full Time
Tasks
- Build create and optimize LLM-powered applications
- Build monitoring observability and feedback loops
- Collaborate with stakeholders to identify AI opportunities
- Create evaluation frameworks for AI responses
- Deploy scalable AI services in cloud environments
- Design, develop, and deploy AI applications
- Develop RAG pipelines and agent workflows
- Establish and maintain AI guardrails and security controls
- Implement prompt engineering and model optimization
- Integrate AI providers and open source models
- Mentor engineers and contribute to architecture and best practices
Perks/Benefits
- N/A
Skills/Tech-stack
AI Deployment | AWS Bedrock | AWS GCP Azure | Cloud Platforms | Cloud Platforms (AWS | Cloud platforms AWS GCP | Cloud platforms AWS GCP Azure | Deep learning | Docker | GANs | Generative AI | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Model Evaluation | Monitoring | OpenAI Anthropic Azure OpenAI AWS Bedrock | Prompt engineering | Python | Retrieval systems | Retrieval-Augmented Generation | Semantic Kernel | Software Architecture | VAEs | Vector Databases
Education
Regions
Countries
States
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