We are seeking a skilled and motivated Java Developer to join our engineering team.
This is an exciting opportunity for a strong backend engineer who wants to maintain deep expertise in core Java technologies while actively building practical experience in the rapidly evolving field of Artificial Intelligence.
Key Responsibilities:
- Design & Development: Architect, build, and maintain high-quality, scalable, and secure backend services and RESTful APIs using Java (version 17 or higher) and the Spring Boot framework.
- Microservices Architecture: Develop and deploy microservices in containerized environments (Docker, Kubernetes/OpenShift).
- Database Management: Design and optimize database schemas, write efficient queries, and integrate with relational (e.g., PostgreSQL, Oracle) and non-relational (e.g., MongoDB, Cassandra) databases.
- CI/CD & DevOps: Participate in and improve continuous integration and continuous deployment (CI/CD) pipelines to ensure automated, reliable software delivery.
- Code Quality & Testing: Write clean, maintainable, and testable code. Implement comprehensive unit, integration, and contract tests (JUnit, Mockito).
- Collaboration: Work closely with product managers, system architects, and frontend engineers to translate business requirements into technical solutions.
- AI Feature Integration: Integrate Large Language Model (LLM) APIs (e.g., OpenAI, Anthropic, or internal AI gateways) into existing Java applications to enable smart features like summarization, semantic search, or automated classification.
- Framework Utilization: Utilize modern Java-based GenAI libraries and frameworks, such as LangChain4j or Spring AI, to build Retrieval-Augmented Generation (RAG) pipelines and agentic workflows.
Required Technical Skills
- Programming Language: Strong proficiency in Java (Java 11/17+ preferred), including deep understanding of multi-threading, concurrency, and object-oriented design patterns.
- Frameworks: Extensive experience with Spring Boot, Spring Cloud, Spring Data, and Spring Security.
- APIs: Proven experience designing and consuming RESTful Web Services.
- Databases: Solid experience with SQL (PostgreSQL, MySQL, or Oracle) and ORM frameworks like Hibernate/JPA.
- Build & Version Control: Proficiency with Git, Maven, or Gradle.
Preferred Qualifications
- Experience with cloud platforms (AWS, GCP, or Azure).
- Familiarity with message brokers/queues (Apache Kafka, RabbitMQ).
- Prior experience building a basic Retrieval-Augmented Generation (RAG) application or chatbot (even as a personal project).
- Familiarity with Python (for basic AI scripting or data manipulation) is a plus, though the primary focus remains Java.
Soft Skills & Competencies
- Curiosity & Continuous Learning: A strong desire to stay updated on both Java advancements and the fast-moving GenAI landscape.
- Problem-Solving: Analytical mindset with the ability to troubleshoot complex backend issues and design creative AI-driven solutions.
- Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
- Collaboration: A team player who thrives in an agile, collaborative environment.
Education & Experience
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- 5+ years of professional software development experience focusing on Java backend systems.
- Demonstrated interest or minor project experience (academic, personal, or professional) involving Generative AI or LLM integration.
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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