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Sr Python GenAI Tester AWS Stack
Job Summary
Test generative AI solutions on AWS validating LLMs RAG prompts and agentic workflows with n8n and Python libraries like deepchecks and LangChain
Key Requirements 8 Points
1Test LLM outputs on AWS Bedrock using boto3
2Validate finetuned LLMs on AWS SageMaker with deepchecks
3Verify langchain prompts in AWS environments
4Test RAG pipelines with AWS OpenSearch and langchain
5Validate AI agents crewaiautogen on AWS Lambda
6Test n8n agentic workflows eg n8nioworkflows6270
7Ensure deployment stability on Amazon ECSEKS with Docker
8Monitor performance with Amazon CloudWatch and wandb
MustHave Skills
5 years of QA automation 2 years testing GenAILLMs using Python
Expertise in AWS Bedrock SageMaker Lambda boto3
Proficiency in deepchecks langchain crewai autogen wandb
Experience testing n8n workflows RAG prompts
Preferred Skills
AWS certification Machine LearningSolutions Architect
Familiarity with llamaindex n8n templates
Mandatory Skills : Agentic Framework,AI/Generative AI,Jenkins,User Acceptance Testing,Functional/System Testing,InSprint Testing,Regression Testing,SQL & Database testing,RTM -Testing,Selenium-Java -Testing,SIT -Testing,Test Design and Execution -Testing,Test Reports and Dashboards -Testing
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