Specialist - Data Sciences

Job Summary:

• Develop generative AI solutions on AWS, emphasizing prompt engineering for large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI using n8n and Python libraries like LangChain.

Key Requirements:

• Build LLMs (e.g., Anthropic Claude) on AWS Bedrock with boto
• Finetune 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/62707).
• Deploy applications with Docker on Amazon ECS/EKS.
• Monitor performance with Amazon CloudWatch and wandb. Must-Have Skills:
• 5 years of Python experience with 2 years in GenAI and LLMs.
• Expertise in AWS Bedrock, SageMaker, Lambda, and boto3.
• Proficiency in transformers, LangChain, Crewai, Autogen, and wandb.
• Experience with n8n workflows, RAG, and prompt engineering. Preferred Skills:
• AWS certification as a Machine Learning Solutions Architect.
• Familiarity with llamaindex and n8n templates.