AI Java Engineer

Job Summary: AI Java Engineer

Location: Hybrid Charlotte, NC or Irving, TX

Duration: 18 Months (potential to extend or convert)

Summary Of Responsibilities & Requirements

• Design, develop, and maintain scalable cloud-native microservices using Java (Java 17/21) and Spring Boot.
• Build, support, and optimize event-driven architectures using Apache Kafka.
• Develop REST APIs and ensure secure, reliable integration with enterprise applications.
• Deploy, manage, and troubleshoot containerized applications on Kubernetes/OpenShift (OCP).
• Collaborate with cross-functional teams including product owners, architects, and other engineers.
• Integrate AI/Generative AI capabilities (LLMs, Azure AI, Vertex AI, Document AI, etc.) into applications.
• Leverage AI tools and prompt engineering to automate and enhance application functionality.
• Apply strong knowledge of object-oriented design, NoSQL databases (MongoDB), and API security (OAuth2, JWT, mTLS).
• Use DevOps practices and CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) for continuous integration and delivery.
• Participate in code reviews, design discussions, and produce technical documentation.
• Troubleshoot production issues, perform root cause analysis, and ensure application performance and reliability.
• Apply monitoring and observability best practices using tools like Splunk, Dynatrace, Grafana, or Prometheus.
• Stay updated on enterprise architecture and security best practices.
• Work in Agile/Scrum environments and demonstrate strong communication and collaboration skills.

Qualifications

• Bachelor s degree in Computer Science, Engineering, or related field.
• 5+ years of software development experience.
• 3+ years of experience with cloud-native microservices.
• Experience with AI/Generative AI integration is a strong plus.
• Financial services domain experience is a plus.

Preferred Skills

• Experience with LLMs (OpenAI, Azure OpenAI, Claude, Copilot, etc.).
• Familiarity with vector databases, RAG architectures, and AI agent frameworks.
• Experience with data APIs, integration platforms, and cloud platforms (OCP, GCP).
• Exposure to monitoring, observability, and enterprise security best practices.

Summary

Seeking an experienced AI Java Engineer to design, build, and support scalable microservices and AI-powered solutions for enterprise applications in a hybrid cloud environment, with a strong focus on Java, Spring Boot, event-driven architectures (Kafka), Kubernetes/OpenShift, and integration of advanced AI technologies.