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Sr Java Backend Developer

  • Source: LinkedIn
  • J&M Group
  • On-site
  • Toronto
  • Full-Time
  • Senior

Job Description

  • Design, develop, and maintain highperformance backend services using Java (17+), Spring Boot, and Microservices architecture
  • Build and expose RESTful and eventdriven APIs supporting enterprisescale applications
  • Integrate Generative AI / LLM capabilities (e.g., text generation, summarization, Q&A, classification) into backend workflows
  • Design, test, and optimize prompts and prompt orchestration strategies to ensure accuracy, determinism, and performance
  • Develop AIaware backend components such as:

  • Prompt templates and prompt pipelines
  • RetrievalAugmented Generation (RAG) services
  • AI inference orchestration layers

  • Implement secure API integrations with AI platforms and internal data sources, ensuring compliance with enterprise security standards
  • Apply prompt versioning, evaluation, and monitoring techniques to improve AI output quality over time
  • Ensure nonfunctional requirements: scalability, resiliency, performance, and observability
  • Contribute to CI/CD pipelines, containerization, and cloudnative deployments
  • Participate in code reviews, architecture discussions, and technical design decisions
  • Support production systems and troubleshoot complex backend or AIintegration issues
  • Required Technical Skills
  • Core Backend Engineering

  • 5+ years of strong handson experience in Java backend development
  • Expertise in Java 11/17+, Spring Boot, Spring MVC, Spring Security
  • Solid experience in Microservices, REST APIs, and API design (OpenAPI/Swagger)
  • Experience with containers and cloud platforms (Docker, Kubernetes, OpenShift, Azure/AWS)
  • Strong knowledge of SQL and NoSQL databases (e.g., DB2, PostgreSQL, MongoDB)
  • Experience in CI/CD, DevOps practices, and automated testing

  • AI & Prompt Engineering

  • Handson experience integrating Large Language Models (LLMs) into backend systems
  • Strong understanding of prompt engineering techniques, including:

  • Zeroshot, fewshot, and chainofthought prompting
  • Prompt templates and dynamic prompt generation
  • Guardrails, validation, and hallucination reduction

  • Experience building RAGbased solutions using vector stores and embeddings
  • Familiarity with AI orchestration frameworks or SDKs (enterprise or opensource)
  • Ability to evaluate prompt and model responses for quality, bias, and consistency

  • Security & Compliance

  • Experience implementing OAuth2.0, JWT, SSL/TLS, and secure API patterns
  • Awareness of data privacy, PII handling, and AI governance in regulated environments (BFSI preferred)

Skills

  • Java
  • spring
  • spring-boot
  • spring-mvc
  • spring-security
  • open-api
  • Docker
  • Kubernetes
  • microsoft-azure
  • amazon-web-services
  • PostgreSQL
  • MongoDB
  • guardrails
  • aws-sdks
  • OAuth2
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