Java Developer (AILLM)

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Java Developer (AI/LLM)
Location: Charlotte NC (Hybrid-3 days/week onsite)

Job Description:
We are seeking a highly skilled Software Engineer with strong backend development experience and a passion for integrating AI capabilities into enterprise systems. The ideal candidate will have a deep understanding of Java ecosystems modern software architecture and hands-on experience with AI/LLM technologies.

Key Responsibilities:

Develop and maintain backend services using Core Java and Spring Boot.
Integrate AI/LLM workflows into Java applications using frameworks like Spring AI.
Design and consume RESTful APIs; familiarity with SOAP/WSDL/XML is a plus.
Build and support event-driven systems using Kafka JMS and other messaging platforms.
Collaborate on frontend development using frameworks such as React Angular or Vue.
Implement observability tools for logging metrics and tracing.
Contribute to CI/CD pipelines containerization (Docker) and orchestration (Kubernetes).
Apply clean architecture principles and design patterns in system design.
Participate in technical discussions mentor team members and collaborate across teams.

Required Skills:

7 10 years of experience in Java development and Spring ecosystem.
Experience with AI/LLM integration in Java applications.
Strong knowledge of REST APIs and event-driven architecture.
Familiarity with frontend frameworks and responsive design.
Experience with observability tools (Logback Prometheus OpenTelemetry).
Proficiency in CI/CD Docker Kubernetes and version control systems.
Solid understanding of software design principles and architecture.

Preferred Qualifications:

Experience with Spring Cloud and microservices components.
Familiarity with vector databases (Pinecone Milvus Redis vector).
Knowledge of domain-driven design CQRS and reactive programming (Spring WebFlux).
Understanding of OAuth JWT and enterprise security protocols.
Exposure to cloud-native AI deployments (AWS Lambda Azure AI Google Vertex AI).
Experience with legacy system modernization and hybrid deployments.
Knowledge of AI orchestration prompt chaining and multi-agent workflows.
Experience with feature toggles A/B testing and canary deployments.

Job Title: Java Developer (AI/LLM) Location: Charlotte NC (Hybrid-3 days/week onsite) Job Description: We are seeking a highly skilled Software Engineer with strong backend development experience and a passion for integrating AI capabilities into enterprise systems. The ideal candidate will have a ...

Develop and maintain backend services using Core Java and Spring Boot.
Integrate AI/LLM workflows into Java applications using frameworks like Spring AI.
Design and consume RESTful APIs; familiarity with SOAP/WSDL/XML is a plus.
Build and support event-driven systems using Kafka JMS and other messaging platforms.
Collaborate on frontend development using frameworks such as React Angular or Vue.
Implement observability tools for logging metrics and tracing.
Contribute to CI/CD pipelines containerization (Docker) and orchestration (Kubernetes).
Apply clean architecture principles and design patterns in system design.
Participate in technical discussions mentor team members and collaborate across teams.

Required Skills:

7 10 years of experience in Java development and Spring ecosystem.
Experience with AI/LLM integration in Java applications.
Strong knowledge of REST APIs and event-driven architecture.
Familiarity with frontend frameworks and responsive design.
Experience with observability tools (Logback Prometheus OpenTelemetry).
Proficiency in CI/CD Docker Kubernetes and version control systems.
Solid understanding of software design principles and architecture.

Preferred Qualifications:

Experience with Spring Cloud and microservices components.
Familiarity with vector databases (Pinecone Milvus Redis vector).
Knowledge of domain-driven design CQRS and reactive programming (Spring WebFlux).
Understanding of OAuth JWT and enterprise security protocols.
Exposure to cloud-native AI deployments (AWS Lambda Azure AI Google Vertex AI).
Experience with legacy system modernization and hybrid deployments.
Knowledge of AI orchestration prompt chaining and multi-agent workflows.
Experience with feature toggles A/B testing and canary deployments.