Overview
Remote
Depends on Experience
Contract - W2
Contract - 1 Year(s)
Able to Provide Sponsorship
Skills
AI Java Developer
ETL
Spring Boot
SQL
Azure AI Service
Elasticsearch
Neo4J
Job Details
Job Title: AI Java Developer
100%Remote
Key Responsibilities:
Design, develop, and maintain AI-driven applications and services using Java.
Implement and manage vector databases to support AI models and data retrieval.
Develop search capabilities and data orchestration using vector databases.
Develop and optimize ETL (Extract, Transform, Load) data pipelines to ensure efficient data processing and integration.
Collaborate with data scientists to integrate AI models into production environments.
Collaborate with cross-functional teams to understand and implement complex product requirements.
Ensure the scalability, performance, and reliability of AI services and applications.
Implement data preprocessing and feature engineering techniques to enhance model performance.
Monitor and troubleshoot AI systems to ensure optimal performance and accuracy.
Stay up to date with the latest advancements in AI, machine learning, and data engineering technologies.
Responsible for reporting progress against schedule for all assigned tasks on a regular basis.
Required Qualifications:
Bachelor s degree in computer science or related degree
5+ years of Java (preferred) or Python, with a focus on AI and data engineering projects.
Prefer experience with Java (11+) and Spring Boot 3+ and Spring AI framework
Experience in designing and working with SQL (SQL Server, MySQL) & NoSQL Databases (Mongo DB, Elasticsearch).
Experience in building vector databases (Azure AI Service, Elasticsearch, Neo4J)
Experience with RAG retrieval methods and best practices.
Experience in designing and implementing AI ETL data pipelines
Strong understanding of data structures, algorithms, and software design principles.
Expertise with developing testing automation including unit and integration testing using frameworks and tools such as JUnit, Mockito and Postman, SOAP UI
Expertise with development and build tools such as Gradle (preferred) or Maven and Git
Experience with version control systems like Git, DevOps practices and CI/CD pipelines
Strong background with Linux operating systems
Experience with Docker building images and Kubernetes deployments, services, ingress, config maps and secrets
Experience with Cloud providers Microsoft Azure or AWS
Knowledge of cybersecurity best practices
Excellent problem-solving skills and attention to detail
Familiarity with Agile development methodologies
Strong communication and teamwork abilities
100%Remote
Key Responsibilities:
Design, develop, and maintain AI-driven applications and services using Java.
Implement and manage vector databases to support AI models and data retrieval.
Develop search capabilities and data orchestration using vector databases.
Develop and optimize ETL (Extract, Transform, Load) data pipelines to ensure efficient data processing and integration.
Collaborate with data scientists to integrate AI models into production environments.
Collaborate with cross-functional teams to understand and implement complex product requirements.
Ensure the scalability, performance, and reliability of AI services and applications.
Implement data preprocessing and feature engineering techniques to enhance model performance.
Monitor and troubleshoot AI systems to ensure optimal performance and accuracy.
Stay up to date with the latest advancements in AI, machine learning, and data engineering technologies.
Responsible for reporting progress against schedule for all assigned tasks on a regular basis.
Required Qualifications:
Bachelor s degree in computer science or related degree
5+ years of Java (preferred) or Python, with a focus on AI and data engineering projects.
Prefer experience with Java (11+) and Spring Boot 3+ and Spring AI framework
Experience in designing and working with SQL (SQL Server, MySQL) & NoSQL Databases (Mongo DB, Elasticsearch).
Experience in building vector databases (Azure AI Service, Elasticsearch, Neo4J)
Experience with RAG retrieval methods and best practices.
Experience in designing and implementing AI ETL data pipelines
Strong understanding of data structures, algorithms, and software design principles.
Expertise with developing testing automation including unit and integration testing using frameworks and tools such as JUnit, Mockito and Postman, SOAP UI
Expertise with development and build tools such as Gradle (preferred) or Maven and Git
Experience with version control systems like Git, DevOps practices and CI/CD pipelines
Strong background with Linux operating systems
Experience with Docker building images and Kubernetes deployments, services, ingress, config maps and secrets
Experience with Cloud providers Microsoft Azure or AWS
Knowledge of cybersecurity best practices
Excellent problem-solving skills and attention to detail
Familiarity with Agile development methodologies
Strong communication and teamwork abilities
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.