AI Engineer
Tasks
- Build real time voice conversational workflows
- Collaborate with product and clinical teams to translate workflows
- Deploy multi agent pipelines
- Design and build production AI pipelines
- Develop retrieval-augmented generation systems
- Implement model evaluation and safety testing
- Prototype and deploy LLM features
- Set up observability for AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agent systems | CI/CD | Cloud platform | Data Pipelines | Distributed Systems | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Microsoft Azure | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Safety testing | Speech Recognition | Streaming Architecture | Terraform | Text to Speech | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
Cities
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