AI Engineer
Los Angeles, CA, USA; Remote, CA, USA
R
USD 120K-158K Mid-level Full Time
Tasks
- Architect implement retrieval augmented generation systems
- Build test and deploy AI powered healthcare applications
- Deploy AI services to private cloud environments using Docker
- Design participant context engines
- Develop agentic AI workflows
- Evaluate model performance cost latency and compliance
- Implement AIOps and MLOps best practices
- Integrate enterprise large language models via APIs
- Research and recommend new AI approaches
- Set up monitoring versioning automated testing and CI CD pipelines
Perks/Benefits
- 401k match
- Dental insurance
- Medical insurance
- Paid Holidays
- Paid time off
- Sick days
- Vision insurance
- Work-life balance
Skills/Tech-stack
AI Foundry | AIOps | Automated testing | Azure AI | Azure AI Foundry | Azure DevOps | Azure Key Vault | Azure Managed | Azure Managed Identities | CI/CD | Context window | Context window management | Docker | Embeddings | Function Calling | Key Vault | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Managed Identities | Model versioning | Monitoring | Private Networking | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Secure deployment | Structured Output | Tool-Calling | VNet | Vector Databases | Window management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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