AI Java Engineer

Largeton Group; Charlotte (NC); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401k matching

Job summary

Largeton Group is 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.

You will work with Java, Spring Boot, Kafka, Kubernetes/OpenShift, and integrate advanced AI technologies, while collaborating with cross-functional teams in an Agile setting.

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.

Responsibilities

• 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 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 CI/CD.
• Participate in code reviews, design discussions, and produce technical documentation.
• Troubleshoot production issues, perform root cause analysis, and ensure performance and reliability.
• Apply monitoring and observability best practices using 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.

Skills

Java

Spring Boot

Kafka

REST APIs

OAuth2

JWT

mTLS

DevOps

Agile/Scrum

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Jenkins

GitHub Actions

Azure DevOps

Kubernetes

OpenShift

Docker

Job description

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.