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
- 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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and
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