Java Developer (AILLM)
Java Developer (AILLM)
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Salary Not Disclosed
1 Vacancy
Job Description
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.
Employment Type
Full Time
