Sr Java Backend Developer

Technology

J&M Group

Toronto, Canada1 month agoUntil 2026-11-13

Full time

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)

Keywords

monthsOfExperience: 60OrchestrationSpring FrameworkSpring SecurityOpenShiftIBM Db2 FamilyScalabilityMongodbSwaggerDevOpsOauthPostgresqlSqlJavaJWtCI / CDAWSDockerKubernetesCI/CD

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