Description :
Develop generative AI solutions on AWS, focusing on LLMs, prompt engineering, RAG, and agentic AI using n8n and Python libraries like LangChain.
Key Requirements (8 Points) :
- Build LLMs (e.g., Anthropic Claude) on AWS Bedrock with boto3.
- Fine-tune LLMs on AWS SageMaker using transformers and LoRA.
- Create prompts with langchain for optimized LLM outputs.
- Develop RAG pipelines with AWS OpenSearch and langchain.
- Build AI agents with crewai or autogen on AWS Lambda.
- Implement agentic workflows in n8n (e.g., n8n.io / workflows / 6270).
- Deploy apps with Docker on Amazon ECS / EKS.
- Monitor performance with Amazon CloudWatch and wandb.
Must-Have Skills :
5+ years Python experience with 2+years in GenAI / LLMs.Expertise in AWS Bedrock, SageMaker, Lambda, boto3.Proficiency in transformers, langchain, crewai, autogen, wandb.Experience with n8n workflows, RAG, prompt engineering.Preferred Skills :
AWS certification (Machine Learning / Solutions Architect).Familiarity with llama-index, n8n templates.(ref : hirist.tech)