Quality Engineering Specialist

Test generative AI solutions on AWS validating LLMs RAG prompts and agentic workflows with n8n and Python libraries like deepchecks and LangChain

Key Requirements

1) Test LLM outputs on AWS Bedrock using boto3

2) Validate finetuned LLMs on AWS SageMaker with deepchecks

3) Verify langchain prompts in AWS environments

4) Test RAG pipelines with AWS OpenSearch and langchain

5) Validate AI agents crewaiautogen on AWS Lambda

6) Test n8n agentic workflows eg n8nioworkflows6270

7) Ensure deployment stability on Amazon ECSEKS with Docker

8) 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

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

Skills Required

Aws Lambda, Docker, Amazon CloudWatch