Java AI Engineer: LLM, RAG & AI-Driven Apps

synechron

Sydney

On-site

AUD 140,000 - 190,000

Full time

11 days ago
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Job summary

Synechron seeks a Java AI Engineer to design, develop, and deploy scalable AI-enabled enterprise applications using Java, Spring Boot, and microservices. You will integrate Claude, OpenAI, and other LLMs, build RAG solutions, and create AI agents that automate workflows and improve business processes.

You will collaborate with architects and product owners, design secure cloud-native solutions, and stay current with AI advances.

Qualifications

  • Strong expertise in Java and Spring Boot.
  • Experience with AI/LLMs and vector databases.
  • Ability to design scalable cloud-native architectures.

Responsibilities

  • Design, develop, and maintain scalable applications using Java, Spring Boot, and Microservices Architecture.
  • Build AI-powered enterprise applications leveraging Claude, OpenAI, and other LLM technologies.
  • Design and implement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
  • Develop AI Agents capable of performing complex tasks, orchestration, reasoning, and workflow automation.
  • Integrate AI models and services into enterprise platforms through APIs and modern frameworks.
  • Collaborate with architects, product owners, and business stakeholders to identify and deliver AI-driven use cases.
  • Design secure, scalable, and resilient cloud-native solutions.
  • Participate in technical design discussions, code reviews, and architecture decisions.
  • Optimize performance, reliability, and scalability of AI-powered systems.
  • Stay current with emerging advancements in AI, LLMs, Agentic AI, and enterprise application development.

Skills

Java
Spring Boot
AI/LLM technologies
RAG
Cloud-native
APIs
Microservices
Vector databases
Claude
OpenAI API

Tools

Vector databases
Claude
OpenAI API

Job description

Synechron seeks a Java AI Engineer to design, develop, and deploy scalable AI-enabled enterprise applications using Java, Spring Boot, and microservices. You will integrate Claude, OpenAI, and other LLMs, build RAG solutions, and create AI agents that automate workflows and improve business processes.

You will collaborate with architects and product owners, design secure cloud-native solutions, and stay current with AI advances.

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