{"schemaVersion":"jobsearcher.job.v1","id":"1ade1e4736573a3b85583e76","url":"https://jobsearcher.com/jobs/1ade1e4736573a3b85583e76","canonicalUrl":"https://jobsearcher.com/jobs/1ade1e4736573a3b85583e76","title":"Java + AI Developer","description":"Role: Java + AI DeveloperLocation: San Francisco , Palo Alto- CA/ New Jersey - NJ / Plano-TX1st Preference - California2nd preference - Plano-TXLast preference - Jersey CityOnsiteRate :$85 for California & NJ;$80 for Plano-TXTop 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 JenkinsJob 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","company":"Diamondpick","rawCompany":"diamondpick","city":"Palo Alto","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-26T02:50:30.848Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Java + AI Developer","description":"Role: Java + AI DeveloperLocation: San Francisco , Palo Alto- CA/ New Jersey - NJ / Plano-TX1st Preference - California2nd preference - Plano-TXLast preference - Jersey CityOnsiteRate :$85 for California & NJ;$80 for Plano-TXTop 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 JenkinsJob 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","datePosted":"2026-06-26T02:50:30.848Z","dateModified":"2026-06-26T02:50:30.848Z","hiringOrganization":{"@type":"Organization","name":"Diamondpick","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1ade1e4736573a3b85583e76"},"url":"https://jobsearcher.com/jobs/1ade1e4736573a3b85583e76"}}