Job Title: Sr. Python GenAi Tester (AWS Stack)
Experience: 5+ Years
Location: Hyderabad (Hybrid)
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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)
- 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
