Sr Python Gen AI engineers

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):

1. Build LLMs (e.g., Anthropic Claude) on AWS Bedrock with boto3.
2. Fine-tune 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 AI agents with crewai or autogen on AWS Lambda.
6. Implement agentic workflows in n8n (e.g., n8n.io/workflows/6270).
7. Deploy apps with Docker on Amazon ECS/EKS.
8. 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