AI System Integration Specialist

3 days ago

Sydney, New South Wales, Australia beBeeSolution Full time $180,000 - $210,000

Job Summary:

We are seeking a skilled Ai Solutions Architect to join our team. This individual will be responsible for architecting and implementing high-throughput APIs that integrate with AI services, leveraging large language models (LLMs) to drive business value.

Key Responsibilities:

  • Architect API security, scalability, reliability, and LLM incorporation into the platform
  • Lead integration solutions using Spring Boot 3.x, reactive patterns, and API gateways while mentoring other developers
  • Champion improvements in integration best practices, focusing on enabling AI-driven applications and efficient content retrieval workflows
  • Collaborate with AI and platform engineers to design APIs for model inferencing, hosting endpoints for LLM queries, vector search, or other AI-driven tasks
  • Implement secure API patterns (OAuth2, JWT, etc.) to protect sensitive data, particularly when fine-tuning or retrieving embeddings for AI models
  • Leverage Spring Boot 3.x, Spring Security, and Spring WebFlux to build production-grade solutions that can scale with AI usage
  • Drive observability (monitoring, alerting, logging) and reliability practices, ensuring resilience and smooth user experiences

Requirements:

  • 8+ years of commercial software development experience, focusing on integration/APIs
  • Expert knowledge of Spring Framework ecosystem, particularly Boot 3.x, Security, and WebFlux
  • Mastery of API security, including OAuth2, JWT, and API key management
  • Track record of delivering high-performance, secure system designs
  • Strong command of cloud services (AWS, Azure, or GCP)
  • Experience consuming LLM APIs, orchestrating prompts, or agentic workflows
  • Familiarity with RAG, term/embedding-based search
  • Daily usage of AI coding assistants to speed up development workflows

Benefits:

  • Advanced system architecture and API design capabilities
  • Expert-level API security implementation knowledge
  • Deep understanding of cloud-native architectures
  • Strong performance optimization and troubleshooting skills
  • Advanced DevOps and automation practices

Preferred Qualifications:

  • Real-time data processing and streaming architecture experience
  • Hosting model endpoints using bedrock or similar
  • Experience with Kafka or similar message brokers

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