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Toronto, ON, Canada
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Role Descriptions: Key Responsibilities Design| develop| and maintain high performance backend services using Java (17+)| Spring Boot| and Microservices architecture. Build and expose RESTful and event driven APIs supporting enterprise scale 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 AI aware backend components such as: Prompt templates and prompt pipelines Retrieval Augmented 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 cloud native deployments. Participate in code reviews| architecture discussions| and technical design decisions. Support production systems and troubleshoot complex backend or AI integration issues. Required Technical Skills Core 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 Engineering Handson experience integrating Large Language Models (LLMs) into backend systems .Strong understanding of prompt engineering techniques| including: Zero shot| few shot| and chain of thought prompting Prompt templates and dynamic prompt generation Guardrails| validation| and hallucination reduction Experience building RAG based 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).
Essential Skills: Key Responsibilities Design| develop| and maintain high performance backend services using Java (17+)| Spring Boot| and Microservices architecture. Build and expose RESTful and event driven APIs supporting enterprise scale 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 AI aware backend components such as: Prompt templates and prompt pipelines Retrieval Augmented 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 cloud native deployments. Participate in code reviews| architecture discussions| and technical design decisions. Support production systems and troubleshoot complex backend or AI integration issues. Required Technical Skills Core 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
Any Graduate
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