Agentic AI Engineer
Los Angeles, CA, US
R
USD 122K-218K (estimate) Senior-level Full Time
Tasks
- Build LLM powered systems for RAG tool calling and orchestration
- Build full stack applications using Python APIs AI services and UI dashboards
- Build multi agent financial AI systems
- Deploy, monitor, and optimize AI systems in Azure
- Design agent based AI workflows for healthcare finance and retail
- Develop classical machine learning risk scoring prediction clustering and anomaly detection
- Implement GenAI systems using RAG over CRM and customer data
- Implement HIPAA aware AI architectures with auditability and traceability
- Implement RAG over documents policies contracts and filings
- Integrate AI with EHRs data lakes and healthcare systems
- Integrate LLMs with sensor data MES ERP and IoT platforms
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent Orchestration | Anomaly Detection | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure ML | Azure OpenAI | Classification | Clustering | Data Lakes | Embeddings | FHIR | GenAI | HIPAA | HL7 | Kubernetes Service | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | Prompt engineering | Prompting | Python | RAG | REST APIs | Regression | Retrieval-Augmented Generation | Risk scoring | Time Series | Tool-Calling
Education
Roles
AI | AI Engineer | Agentic AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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