Sr Java Backend Developer

Sr Java Backend Developer (10 + yrs exp)

Toronto, ON - Hybrid (4 Days WFO)

6-12 months

Role Descriptions: Key ResponsibilitiesDesign| 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 pipelinesRetrievalAugmented Generation (RAG) servicesAI inference orchestration layersImplement 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 SkillsCore Backend Engineering5+ 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 EngineeringHandson experience integrating Large Language Models (LLMs) into backend systems.Strong understanding of prompt engineering techniques| including:Zeroshot| fewshot| and chainofthought promptingPrompt templates and dynamic prompt generationGuardrails| validation| and hallucination reductionExperience 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 & ComplianceExperience implementing OAuth2.0| JWT| SSL/TLS| and secure API patterns.Awareness of data privacy| PII handling| and AI governance in regulated environments (BFSI preferred).