Description

You will design and develop cloud-native AI infrastructure on AWS, building scalable APIs, AI agents, and enterprise-grade retrieval systems.

Responsibilities

• Design serverless architectures using AWS Lambda, API Gateway, and event-driven patterns
• Develop and optimize AI solutions using LLMs, RAG frameworks, and vector databases
• Build and maintain data pipelines for training, fine-tuning, and serving AI models
• Create scalable APIs using Python, FastAPI, and AWS API Gateway
• Implement agent-based systems that interact with various data sources and services

Required Skills

• 5+ years of development experience, focusing on APIs, monoliths, or microservices
• Strong proficiency in Python or Node.js for modern server development
• Deep experience with AWS services: Lambda, ECS, API Gateway, DynamoDB
• Proficiency with container technologies (Docker) and orchestration
• Knowledge of AI/ML concepts, LLM integration patterns, and RAG systems
• Familiarity with vector databases, embedding models, and OpenSearch
• Experience with CI/CD pipelines and infrastructure as code
• Understanding of security best practices for cloud applications

Preferred Skills

• Experience with AWS Bedrock, Amazon Titan, or other AWS AI services
• Familiarity with AWS CDK or Terraform for infrastructure as code
• Knowledge of AWS security services (IAM, Cognito, KMS)

Key Skills

Education

Any Graduate