Java Backend developer

Job Type: Full Time



Location: Toronto, ON



Work Model: Onsite / 4 Days

Primary Skills: Java & Spring Boot, Microservices & REST APIs, Generative AI & Prompt Engineering

We are seeking an experienced Java Backend Developer to design, develop, and maintain high-performance backend services using Java 17+, Spring Boot, and Microservices architecture. The role also focuses on integrating Generative AI and LLM capabilities into enterprise backend workflows.

• Design, develop, and maintain scalable backend services using Java 17+, Spring Boot, and Microservices .
• Build RESTful and event-driven APIs for enterprise-scale applications.
• Integrate Generative AI/LLM capabilities such as text generation, summarization, Q&A, and classification.
• Design and optimize prompts and prompt orchestration strategies for accuracy, consistency, and performance.
• Develop AI-aware backend components including prompt templates, prompt pipelines, RAG services, and AI inference orchestration layers.
• Implement secure integrations with AI platforms and internal enterprise data sources.
• Apply prompt versioning, evaluation, monitoring, guardrails, and validation techniques.
• Ensure scalability, resiliency, performance, security, and observability of backend services.
• Contribute to CI/CD pipelines, containerization, and cloud-native deployments.
• Participate in code reviews, architecture discussions, and technical design decisions.
• Troubleshoot complex backend and AI integration issues in production environments.

Core Backend Engineering

• 5+ years of hands-on experience in Java backend development.
• Strong expertise in Java 11/17+, Spring Boot, Spring MVC, and Spring Security .
• Solid experience with Microservices, REST APIs, and API design using OpenAPI/Swagger.
• Experience with Docker, Kubernetes, OpenShift, and cloud platforms such as Azure/AWS.
• Strong knowledge of SQL and NoSQL databases including DB2, PostgreSQL, and MongoDB.
• Experience with CI/CD, DevOps practices, and automated testing.

AI & Prompt Engineering

• Hands-on experience integrating Large Language Models (LLMs) into backend applications.
• Strong understanding of prompt engineering techniques including zero-shot, few-shot, and chain-of-thought prompting.
• Experience with prompt templates, dynamic prompt generation, guardrails, and output validation.
• Knowledge of Retrieval-Augmented Generation (RAG), AI orchestration, prompt evaluation, and monitoring.

• Experience building AI-powered enterprise applications.
• Knowledge of event-driven architecture and messaging platforms.
• Experience with cloud-native application development.
• Strong understanding of secure enterprise API and AI integrations.
• Excellent problem-solving, communication, and collaboration skills.

• Job Type: Full Time
• Location: Toronto, ON
• Work Model: Onsite / 4 Days