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Senior Java Engineer Agentic AI

Kanor SystemsToronto, ON🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

You can significantly advance your career by building cutting-edge Agentic AI capabilities into enterprise Java backend systems, leveraging AI-assisted development tools for impactful innovation. This hands-on role is perfect for experienced backend engineers with a passion for AI and a desire to shape the future of software development. Embrace this opportunity to grow your skills and contribute to a leading technology company.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Senior Java Engineer Agentic AI

Position Overview

We are hiring 3 Senior Software Engineers (Architect level) and 5 Senior Software Engineers (Technical Lead level) to join a team building Agentic AI capabilities into enterprise Java backend systems. This is a hands-on engineering role for candidates who combine deep backend expertise with practical, day-to-day use of AI-assisted development tools.

Location

Toronto, ON (Hybrid - 3 days/week onsite)

Duration

6-month contract, with possible extension up to 1 year - or FTE

Interview Process

1-hour interview, including a live virtual whiteboarding session (candidates must have access to a diagramming tool such as Draw.io)

Required Skills & Experience

  • 8+ years of hands-on Java backend development experience.
  • Strong expertise in Java, Spring Boot, and Microservices.
  • Proven experience in software design, architecture, and end-to-end implementation.
  • Hands-on experience with GitHub Copilot and/or Claude as part of the software development lifecycle.
  • Good understanding of AI/ML concepts and AI-assisted software development.
  • Experience working with Agentic AI, AI agents, workflows, skills, or AI-powered coding tools.
  • Strong system design and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently in ambiguous environments with minimal supervision.

What We're Looking For

  • Technical Depth - Strong Java, Spring Boot, backend architecture.
  • Research Mindset - Curiosity, innovation, asks insightful questions.
  • AI Adoption - Uses AI tools extensively throughout the SDLC.
  • System Design - Scalability, performance, trade-off analysis.
  • Communication - Explains concepts clearly and confidently.
  • Problem Solving - Breaks down complex problems methodically.
  • Energy & Ownership - Demonstrates enthusiasm, confidence, and proactive thinking.

Skills

Microservices
Spring
Spring Boot
Java

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