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Open nowFirst seen 39 hours ago

Senior Software Developer Agentic AI Application Development

Tech Talent International214 open roles

Where
Mississauga, ON, Canada, Remote
Work mode
Remote
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Your applicationOpen nowSenior Software Developer Agentic AI Application DevelopmentTech Talent International · Mississauga, ON, Canada, Remote

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This job: first seen 39 hours ago

The posting

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US. We are currently hiring for a Senior Software Developer Agentic AI Application Development for our global IT M&A client in the Toronto area.

Role: Senior Software Developer Agentic AI Application Development

Type: Fulltime, Perm

Salary Range: $100,000 - $130,000 as base depending on overall experience + bonus + vacation + benefits + other great company perks such as AI tooling and AI conference budget.

Location: Remote - Mississauga, ON, Canada

Remote within the United States or Canada (workday overlap from Pacific to Eastern time zones)

Role Overview

We are seeking a Senior Software Developer to help pioneer the next generation of agentic applicationssoftware systems that leverage autonomous agents, large language models, and adaptive workflows to augment and accelerate human decision-making. In this role, youll design, build, and scale intelligent services and applications that seamlessly blend traditional engineering practices with cutting-edge AI-driven automation.

Youll work in a small, high-impact team that values experimentation, rapid iteration, and quality engineering. This is a chance to shape how agentic applications are built, deployed, and adopted in real-world environments.

Key Responsibilities

Agentic Application Development

  • Architect, build, and maintain applications that integrate autonomous agents and LLMs into end-to-end workflows.
  • Design APIs, services, and event-driven components that allow agents to interact with systems, data, and users effectively.
  • Ensure applications are resilient, secure, and adaptable in production environments.

AI-First Engineering

  • Pilot and integrate agent frameworks, orchestration layers, and multi-agent systems.
  • Automate repetitive tasks including code generation, testing, monitoring, and documentation.
  • Continuously evaluate and incorporate emerging AI tooling.

Agentic Practices & Evangelism

  • Define and codify best practices for designing, deploying, and monitoring agentic workflows.
  • Coach peers on prompt engineering, guardrails, and safe deployment of autonomous agents.
  • Establish patterns for observability, safety, and human-in-the-loop validation.

Technical Leadership

  • Set high standards for design, code quality, and testing.
  • Conduct architecture reviews and mentor other developers in building AI-powered systems.
  • Stay current with research and industry trends in autonomous agents and applied LLMs.

Engineering Excellence

  • Deliver high-quality applications with strong reliability, security, and performance.
  • Optimize for scalability and cost efficiency in cloud-native environments.
  • Own the lifecycle from prototyping to production deployment.

Minimum Qualifications

  • 5+ years of experience building and shipping production software systems.
  • Strong background in designing APIs, distributed systems, and event-driven architectures.
  • Proficiency in at least one statically typed language (Go, Java, C#) and one scripting language (Python, TypeScript, Bash).
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
  • Demonstrated use of AI/LLM tooling in professional or side projects.
  • Curiosity and creativity in exploring agentic workflows and autonomous development approaches.
  • Strong communication skills and ability to collaborate across remote-first teams.

Preferred / Bonus Skills

  • Experience with multi-agent frameworks, orchestration tools, or AI-powered application platforms.
  • Knowledge of service-mesh, observability tooling, and policy-as-code.
  • Familiarity with event-driven systems (Kafka, NATS) and domain-driven design.
  • Exposure to safety, ethics, and compliance considerations in AI systems.

Work Environment & Benefits

  • Remote-first with optional hub meet-ups; hardware & co-working stipend.
  • Flexible core hours (overlap 9 a.m. 3 p.m. ET).
  • Comprehensive health, dental, and vision coverage in Canada & the U.S.
  • Generous vacation, paid learning days, and annual budget for conferences or AI tooling subscriptions.
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