AI Developer - Remote
Tech Talent International
Werken op afstand
- Locatie
- Remote (Canada)
- Beloning
- CAD 100000-130000 per annual
- Werktijden
- Full Time
- Geplaatst
- 17 okt 2026
Controleer vóór je solliciteert op de website van de werkgever of de vacature nog openstaat en bekijk de volledige voorwaarden.
Functieomschrijving
De interface is in het Nederlands. Functietitels en beschrijvingen van werkgevers blijven in de oorspronkelijke publicatietaal, die Engels kan zijn.
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 AI Developer - Remote for our global IT M&A client in the Toronto area.
Role:AI 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.
Originally posted on Himalayas