Sr Java Backend Developer
- Source: LinkedIn
- Tekgence Inc
- On-site
- Toronto
- Senior
Job Description
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).Skills
- Java
- spring
- spring-boot
- spring-mvc
- spring-security
- open-api
- Docker
- Kubernetes
- microsoft-azure
- amazon-web-services
- PostgreSQL
- MongoDB
- azure-devops
- aws-sdks
- OAuth2
