Java + AI Developer - W2 Only

Ai Integration & Development

• Design, develop, and implement AI-powered automation and applications using AWS Bedrock, LLMs (Large Language Models), or SageMaker.

Backend Java Engineering

• Develop robust backend services and RESTful APIs using Java 17/21, Spring Boot, and microservices architecture.

AWS Cloud Native Development

• Build scalable, resilient solutions utilizing AWS services such as Lambda, S3, API Gateway, and DynamoDB.

MLOps & Pipeline Management

• Implement CI/CD pipelines to automate the deployment, monitoring, and operational lifecycle of AI models.

Data Handling

• Process and clean data to feed machine learning models, creating intelligent algorithms to enhance automation.

Collaboration

• Work with cross-functional teams (data scientists, DevOps) to translate business requirements into technical AI solutions.