Role:
Java +
AI Developer Location:
San Francisco , Palo Alto
- CA/ New Jersey
- NJ / Plano-TX 1st Preference
- California 2nd preference
- Plano-TX Last preference
- Jersey City (Onsite) W2 Position Skill Metrics AWS DevOps AWS Cloud AWS Core Java AI/ML Terraform Top skills required for this role:
Programming:
Strong hands-on experience in Java (17+ preferred) and Spring Boot.
Cloud Proficiency:
Proven experience with AWS services (Lambda, EMR, S3, RDS, EKS/ECS).
AI/ML Knowledge:
Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience with generative AI tools (e.g., Bedrock, SageMaker). Infrastructure as Code (IaC): Experience with Terraform or CloudFormation.
Architecture:
Understanding of microservices, event-driven architectures, and RESTful API design.
DevOps:
Experience with
Docker, Kubernetes, and Jenkins Job Description/ Responsibilities:
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
