Develop generative Al solutions on AWS focusing on LLMs prompt engineering RAG and agentic Al using n8n and Python libraries like LangChain
Key Requirements
1 Build LLMs eg Anthropic Claude on AWS Bedrock with boto3
2 Finetune LLMs on AWS SageMaker using transformers and LORA
3 Create prompts with langchain for optimized LLM outputs
4 Develop RAG pipelines with AWS OpenSearch and langchain
5 Build Al agents with crewai or autogen on AWS Lambda
6 Implement agentic workflows in n8n eg n8nioworkflows6270
7 Deploy apps with Docker on Amazon ECSEKS
8 Monitor performance with Amazon CloudWatch and wandb
MustHave Skills

Keyskills: Architect Transformers AWS Python
[NSE: LTIMindtree] is a global technology consulting and digital solutions LTIMindtree company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 75...