🛠 Tech Stack

💼 About This Role

You'll implement AWS data and AI/ML services and build ETL pipelines for customer solutions. You will collaborate with architects to design scalable cloud-native applications.

🎯 What You'll Do

• Implement data pipelines using AWS Glue, Lambda, Step Functions, and EMR
• Configure and optimize AWS database services including RDS, Aurora, Redshift, and DynamoDB
• Build production-ready Generative AI applications using Amazon Bedrock and foundation models
• Develop RAG pipelines with vector databases and AI agents using LangChain or LlamaIndex

📋 Requirements

• 5+ years of software engineering experience
• 2+ years of hands-on AWS experience with production deployments
• 1+ years of direct Generative AI experience
• Proven track record delivering production AI applications

✨ Nice to Have

• Experience with automation and infrastructure as code
• Knowledge of data modeling concepts and best practices
• Familiarity with agile/scrum environments