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
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