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
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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)
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Experience in CI/CD, DevOps practices, and automated testing
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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)
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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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