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Senior Backend Developer - Java, Microservices, Gen AI

Job in Toronto, Ontario, M5A, Canada
Listing for: Astra North Infoteck Inc.
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    Backend Developer, AI Engineer, Cloud Engineer - Software, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Description

Top 3

Required Skills:

· Java

· Spring Boot

· Microservices

· Angular

· AI

Role

Description:

· 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 including:

· 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 non-functional requirements including 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 Engineering

5+ years of hands-on experience in Java backend development

Expertise in Java 11/17+, Spring Boot, Spring MVC, Spring Security

Experience in Microservices, REST APIs, and API design (OpenAPI/Swagger)

Experience with containers and cloud platforms (Docker, Kubernetes, Open Shift, Azure/AWS)

Strong knowledge of SQL and No

SQL databases (DB2, Postgre

SQL, Mongo

DB)

Experience in CI/CD, Dev Ops practices, and automated testing

AI & Prompt Engineering:

· Hands-on experience integrating Large Language Models (LLMs) into backend systems

· Strong understanding of prompt engineering techniques including:

· Zero-shot, few-shot, 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 open-source)

· Ability to evaluate prompt and model responses for quality, bias, and consistency

Security & Compliance:

· Experience implementing OAuth 2.0, JWT, SSL/TLS, and secure API patterns

· Awareness of data privacy, PII handling, and AI governance in regulated BFSI environments

Requirements
Top 3

Required Skills:

• Java
• Spring Boot
• Microservices
• Angular
• AI Role

Description:

• 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 including:
• 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 non-functional requirements including 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 Engineering 5+ years of hands-on experience in Java backend development Expertise in Java 11/17+, Spring Boot, Spring MVC, Spring Security Experience in Microservices, REST APIs, and API design (OpenAPI/Swagger)

Experience with containers and…
Position Requirements
10+ Years work experience
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