Description

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

This role is remote.

Responsibilities

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

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