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.