AI LLM Engineer
Tasks
- Build Python pipelines for training evaluation and deployment
- Build and orchestrate AI agents
- Build enterprise copilots and natural language interfaces
- Create evaluation frameworks for prompt and answer quality
- Design and deploy LLM-powered applications
- Develop ML models for forecasting and anomaly detection
- Ensure responsible AI practices security and compliance
- Implement RAG pipelines and retrieval optimization
- Integrate AI agents with structured data and workflows
- Integrate AI with enterprise tools for end to end automation
- Optimize SQL queries and data modeling for AI use cases
- Orchestrate automated reporting and data quality monitoring workflows
Perks/Benefits
- 401k retirement plan
- Dental insurance
- Life insurance
- Long-term disability insurance
- Medical insurance
- Paid parking or public transportation
- Paid sick and safe time
- Paid time off
- Short-term Disability Insurance
- Vision insurance
Skills/Tech-stack
AI Foundry | Agent Orchestration | Azure AI | Azure AI Foundry | Azure OpenAI | Copilot Studio | Data Modeling | ELT | Embeddings | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Fabric | Model Monitoring | OneLake | Power Apps | Power Automate | Power BI | Prompt engineering | Python | RAG | SQL | Semantic Kernel | Snowflake | Vector Databases
Education
Roles
AI | AI/LLM Engineer | Engineer | LLM Engineer | Learning Engineer | Machine Learning Engineer
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