Architecture patterns for GenAI and Agentic AI solutions
Experience with Bedrock, Sagemaker, and Agentic AI (strands, AgentCore, LangGraph), including guardrails and security for GenAI solutions
Experience with Knowledgebase, RAG, prompt engineering, and prompt optimization
Requirements:
Build and deploy end-to-end ML and Generative AI models
Perform data analysis to inform model development and deployment
Scale ML/GenAI solutions to production using cloud infrastructure and MLOps practices
Design and implement architectures for GenAI and Agentic AI solutions, including guardrails and security considerations
Job description
This is a remote position.
We are looking for a Senior ML engineering expertise to build and deploy end-to-end AI solutions. The role involves developing machine learning and generative AI models, performing data analysis, and scaling solutions in production using cloud and MLOps practices.
Requirements
Design and Architecture of ML solutions
Architecture patterns for GenAI and Agentic AI solutions
Demonstrable strong experience with Bedrock, Sagemaker, Agentic AI (strands, AgentCore, LangGraph). Guardrails and security of GenAI Solutions
Demonstrable strong experience with Knowledgebase, RAG, prompt engineering, prompt optimization
Demonstrable strong experience in deploying and scaling ML/GenAI solutions to production environment
Comfortable with supporting services such has Lambda, State machines, Cloudwatch, Cloudtrail etc.
