AI Architect
CAD 120K-140K Senior-level Full Time
Tasks
- Apply CI CD logging monitoring and testing
- Architect agentic AI applications
- Build RAG pipelines
- Build cloud infrastructure for AI systems
- Deploy securely to Azure AWS or GCP
- Design tool calling function calling patterns
- Develop production-grade AI solutions
- Evaluate LLM models
- Implement vectorization and embeddings
- Integrate AI into end to end solutions
- Integrate LLMs with APIs and databases
- Lead LLM prompt engineering and context management
- Manage memory and state in agent workflows
Perks/Benefits
- Deferred profit-sharing
- Dental insurance
- Health insurance
- Hybrid work
- Paid time off
- Remote work
- Wellness benefits
Skills/Tech-stack
.Net Core | API Integration | AWS | Autogen | Azure | Azure DevOps | CI/CD | Cloud platform | Context Management | Csharp | Database Integration | Embeddings | Error Handling | Function Calling | GitHub | Google Cloud | Google Cloud Platform | Java | LLM Evaluation | LLM orchestration | Langchain | Langgraph | Logging | Monitoring | Prompt engineering | Python | RAG | Secure deployment | Semantic Kernel | Tool-Calling | Vectorization
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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