Senior Software Developer – Agentic Application Development

Horizon Software International, LLC

full-time

Posted on: 9/4/2025

Location: 🇨🇦 Canada

✨ AI Apply

💰 CA$100,000 - CA$130,000 per year

Senior

AWSAzureCloudDistributed SystemsGoGoogle Cloud PlatformJavaKafkaKubernetesPythonTypeScript

About the role

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
Ensure applications are resilient, secure, and adaptable in production environments
Pilot and integrate agent frameworks, orchestration layers, and multi-agent systems
Automate repetitive tasks including code generation, testing, monitoring, and documentation
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
Conduct architecture reviews and mentor other developers in building AI-powered systems
Deliver high-quality applications optimized for scalability, cost efficiency, reliability, security, and performance
Own the lifecycle from prototyping to production deployment

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#)
Proficiency in at least one scripting language (Python, TypeScript, Bash)
Hands-on experience with cloud platforms (AWS, GCP, or Azure)
Experience with 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: experience with multi-agent frameworks, orchestration tools, or AI-powered application platforms
Preferred: knowledge of service-mesh, observability tooling, and policy-as-code
Preferred: familiarity with event-driven systems (Kafka, NATS) and domain-driven design
Preferred: exposure to safety, ethics, and compliance considerations in AI systems
Must be able to work remotely within the United States or Canada with workday overlap from Pacific to Eastern time zones