Job Description & How to Apply Below
6-12yrs
Hyderabad
Job Summary :
Test generative AI solutions on AWS, validating LLMs, RAG, prompts, and agentic workflows with n8n and Python libraries like deep checks, Ragas and Lang Chain.
Key Requirements (8 Points) :
Test LLM outputs on AWS Bedrock using boto
3.
Validate fine-tuned LLMs on AWS Sage Maker with deep checks.
Verify langchain prompts in AWS environments.
Test RAG pipelines with AWS Open Search and langchain.
Validate AI agents (crewai/autogen) on AWS Lambda/equivalent
Test n8n agentic workflows (e.g., n8n.io/workflows/6270 ).
Ensure deployment stability on Amazon ECS/EKS with Docker.
Monitor performance with Amazon Cloud Watch and wandb.
Must-Have Skills :
2 years testing GenAI/LLMs using Python
4+ years’ experience in QA Automation
Expertise in AWS Bedrock, Sage Maker, Lambda, boto
3.
Proficiency in deep checks, langchain, crewai, autogen, wandb.
Experience testing n8n workflows, RAG, prompts.
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