AI Architect with AWS bedrock - Ohio City
2 weeks ago

Job summary
AI Architect with AWS bedrockDesign multilayered AI solutions balancing compute efficiency contextual fidelity and algorithmic adaptability retrieval reasoning planning tooluse
Develop advanced RAG pipelines leveraging vector databases eg ChromaDB Milvus FAISS and embedding strategies for contextual accuracy
Qualifications
- Python 310 Async design modulardistributed architecture microservices
- LangChain Ecosystem LangChain LangGraph prompt templates agent orchestration patterns AIML Frameworks OpenAI API HuggingFace Transformers TensorFlow PyTorch experience with finetuning and inference optimization Data Context Management SQLAlchemy PostgreSQL JSON Schema Mapping feature engineering and contextual pipelines Vector Databases Semantic Search ChromaDB Milvus FAISS embedding optimization and similarity search strategies Algorithmic Design Strong understanding of algorithm layering retrieval reasoning planning hybrid AI approaches computeaware model selection API Integration Security REST GraphQL OAuth enterprisegrade security practices DevOps CICD Git Docker Azure DevOps equivalent FastAPI Uvicorn containerized deployments automated pipelines Agentic Capabilities Reasoning adaptation tool calling MCPbased solutions ReAct agents Supervisormultiagent coordination Performance Optimization Distributed compute strategies GPUTPU utilization quantizationpruningdistillation caching batching
Job description
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