Description

You will design and develop cloud-native AI infrastructure.

Responsibilities

• Design and implement serverless architectures using AWS Lambda, API Gateway, and event-driven patterns.
• Develop and optimize AI solutions using LLMs, RAG frameworks, and vector databases (OpenSearch).
• 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 with a focus on APIs (Monoliths or Microservices).
• Strong experience with AWS services including Lambda, ECS, API Gateway, and DynamoDB.
• Proficiency with container technologies (Docker) and orchestration.
• Knowledge of AI/ML concepts and LLM integration patterns.
• Understanding of RAG systems and retrieval optimization techniques.
• Experience with CI/CD pipelines and infrastructure as code.
• Familiarity with vector databases and embedding models.
• Experience developing with Python or Node.
• Familiarity with 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.
• Experience with OpenSearch or Elasticsearch for vector search.

Key Skills

Education

Any Graduate