AI Engineer

Overview

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.
  
  

• 3+ 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.
  
  

• AWS certification (Machine Learning/Solutions Architect).
• Familiarity with llama-index, n8n templates