Java AI Engineer - Enterprise AI & RAG Solutions

Synechron

Australia

On-site

AUD 150,000 - 190,000

Full time

4 days ago
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Job summary

Synechron seeks a Java AI Engineer to design, develop and deploy scalable AI-enabled applications using Java, Spring Boot and modern AI tech. You will build AI-powered enterprise solutions, integrate LLMs, and implement RAG with vector databases for reliable knowledge access.

The role focuses on secure, cloud-native architectures, API integration, and collaboration with architects, product owners and stakeholders to deliver impactful AI-driven use cases.

Qualifications

  • Proven experience building Java AI applications in enterprise settings.
  • Strong skills in Java, Spring Boot and microservices architecture.
  • Familiarity with LLMs, RAG and AI-powered workflows.

Responsibilities

  • Design, develop and maintain scalable Java-based AI apps.
  • Leverage Claude, OpenAI and other LLM tech in solutions.
  • Implement RAG using vector databases and sources.
  • Build AI agents for complex tasks and automation.
  • Integrate AI models via APIs in enterprise platforms.
  • Collaborate with tech and product stakeholders on use cases.
  • Design secure, scalable cloud-native solutions.
  • Participate in design reviews, reviews, architecture decisions.
  • Optimize performance, reliability and scalability of AI systems.
  • Keep up with AI advances and enterprise development trends.

Skills

Java
Spring Boot
Microservices
AI/ML
LLMs
RAG
APIs
Cloud-native
Architecture
Code reviews

Tools

Claude
OpenAI
Vector databases

Job description

Synechron seeks a Java AI Engineer to design, develop and deploy scalable AI-enabled applications using Java, Spring Boot and modern AI tech. You will build AI-powered enterprise solutions, integrate LLMs, and implement RAG with vector databases for reliable knowledge access.

The role focuses on secure, cloud-native architectures, API integration, and collaboration with architects, product owners and stakeholders to deliver impactful AI-driven use cases.

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