AI Architect
Tasks
- Apply prompt engineering
- Build RAG pipelines
- Build microservices
- Deploy AI services
- Design enterprise AI solutions
- Develop REST APIs
- Develop production AI applications
- Implement vector search with vector databases
- Integrate MCP servers
- Monitor, evaluate, and optimize AI models
- Orchestrate LLM workflows
Perks/Benefits
Skills/Tech-stack
AI monitoring | AI orchestration | AWS | Anthropic API | Azure | ChromaDB | Distributed Systems | Docker | Faiss | Generative AI | Google Cloud | Google Gemini | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llama | Microservices | Model Evaluation | Model Optimization | OpenAI API | Pinecone | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
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