JobMatch
← Back to jobs

Senior Software Developer Agentic Application Development

Tech Talent International

RemoteUnited StatesCAD 100k–130kseniorFull Time
Posted
today
Source
Himalayas
Field
Engineering

Skills

ExperimentationCommunicationPrototypingTypeScriptKubernetesLeadershipSecurityPythonAzureNext.jsJavaLLMsAWSGCPGoC#AI

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. Originally posted on Himalayas

JobMatch aggregates public listings. Always apply through the original posting.