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J&M Group Linkedin · Posted 17d ago

Java Backend Developer

Toronto, Ontario, Canada

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Indexed description

We are looking for an experienced Java Backend Developer with AI integration experience to join a financial services technology team in Toronto. You will design and maintain high-performance backend services while integrating generative AI and large language model capabilities into enterprise workflows.

What You'll Do

  • Design, develop, and maintain backend services using Java 17, Spring Boot, and microservices architecture
  • Build and expose RESTful and event-driven APIs supporting enterprise scale applications
  • Integrate generative AI and large language model capabilities into backend workflows
  • Design and optimize prompt templates, prompt pipelines, and prompt orchestration strategies
  • Develop retrieval augmented generation services and AI inference orchestration layers
  • Implement secure API integrations with AI platforms and internal data sources
  • Apply prompt versioning, evaluation, and monitoring techniques to improve AI output quality
  • Contribute to CI/CD pipelines, containerization, and cloud-native deployments
  • Ensure scalability, resiliency, performance, and observability across backend systems
  • Participate in code reviews, architecture discussions, and technical design decisions
  • Support production systems and troubleshoot complex backend and AI integration issues

What You Bring

  • 5 or more years of hands-on Java backend development experience
  • Strong expertise in Java 11 and 17, Spring Boot, Spring MVC, and Spring Security
  • Solid experience with microservices, REST APIs, and OpenAPI or Swagger design
  • Hands-on experience integrating large language models into backend systems
  • Strong understanding of prompt engineering techniques including zero-shot, few-shot, and chain of thought prompting
  • Experience building retrieval augmented generation solutions using vector stores and embeddings
  • Experience with Docker, Kubernetes, OpenShift, and cloud platforms such as Azure or AWS
  • Strong knowledge of SQL and NoSQL databases including DB2, PostgreSQL, and MongoDB
  • Experience implementing OAuth 2.0, JWT, and secure API patterns
  • Awareness of data privacy, PII handling, and AI governance in regulated environments

Nice to have

  • Familiarity with AI orchestration frameworks or SDKs
  • Experience in banking or financial services environments
  • Background in prompt evaluation for quality, bias, and consistency

Work setup

  • 6 to 12 month contract based in Toronto, ON
  • Hybrid with 4 days onsite per week
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