About the Role
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.
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