- 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
- Robust 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)

📌 Sr Java Backend Developer (Toronto)
🏢 Ju0026M Group
📍 Toronto