Job Title: Java Developer with AI Tools Experience
Location: Montreal, QB
Job Type: Full-Time (FTE)
Work Model: Hybrid Job Summary
We are seeking a Java Developer with AI Tools Experience to build scalable, enterprise-grade backend applications and distributed systems. The ideal candidate will have solid expertise in Core Java, modern software architecture, and hands-on experience with Agentic AI tools, while following Agile and DevOps best practices. Key Responsibilities
Design, develop, and maintain production-grade backend applications using Core Java.
Build scalable, high-performance distributed systems and microservices.
Develop clean, maintainable, and effective code following software engineering best practices.
Design solutions using appropriate data structures, algorithms, and design patterns.
Work with Linux/Unix environments for application deployment, scripting, and troubleshooting.
Develop and optimize database solutions using relational and document-oriented databases.
Integrate AI-powered tools and Agentic AI capabilities into enterprise applications.
Collaborate with cross-functional Agile teams throughout the software development lifecycle.
Participate in code reviews, system design discussions, and performance optimization initiatives.
Support CI/CD pipelines and DevOps practices for application deployment and monitoring.
Required Skills
Core Java
Distributed Systems
Microservices
Data Structures & Algorithms
Software Design Patterns
Linux / Unix
Shell Scripting
Relational Databases
Document-Oriented Databases
REST APIs
Agile Methodology
DevOps Practices
AI & Emerging Technologies
Agentic AI
AI Development Tools
Generative AI Fundamentals
AI-Assisted Software Development
Preferred Qualifications
5+ years of experience building large-scale, production-grade Java backend systems.
Experience designing scalable distributed architectures.
Solid analytical, problem-solving, and debugging skills.
Excellent communication and collaboration skills.
📌 Java Developer With Ai Tools Experience Montreal
🏢 AceStack
📍 Montreal
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