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Software International

Software International

via Indeed

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Senior Software Developer Agentic Application Development

Anywhere
Full-time
Posted 2/27/2026
Verified Source
Key Skills:
TypeScript
AI/LLM tooling
Cloud platforms (AWS, GCP, Azure)

Compensation

Salary Range

$100K - 130K a year

Responsibilities

Design, build, and scale AI-driven agentic applications integrating autonomous agents and LLMs with resilient, secure, and scalable architectures.

Requirements

5+ years experience, proficiency in statically typed and scripting languages, cloud and container orchestration experience, AI/LLM tooling familiarity, and strong communication skills.

Full Description

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 Application Development for our global IT M&A client in the Toronto area. Role: Senior Software Developer Agentic Application Development Type: Fulltime, Perm Salary Range: $100,000 - $130,000 CAD as base depending on overall experience + bonus (total comp up to $150k) + vacation + benefits + other great company perks such as AI tooling and AI conference budget. Location: Remote - Toronto, 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.

This job posting was last updated on 3/5/2026

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