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Job Description

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 :


- Test LLM outputs on AWS Bedrock using boto3.


- Validate fine-tuned LLMs on AWS SageMaker with deepchecks.


- Verify langchain prompts in AWS environments.


- Test RAG pipelines with AWS OpenSearch and langchain.


- Validate AI agents (crewai/autogen) on AWS Lambda.


- Test n8n agentic workflows (e.g., n8n.io/workflows/6270).


- Ensure deployment stability on Amazon ECS/EKS with Docker.


- Monitor performance with Amazon CloudWatch and wandb.


Must-Have Skills :


- 5+ years of QA automation, 2 years- testing GenAI/LLMs 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 Learning/Solutions Architect).


- Familiarity with llama-index, n8n templates

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