Senior Software Developer Agentic AI Experimentation & Prototyping
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Job Summary
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 Experimentation & Prototyping for our global IT M&A client in the Toronto area.
Role: Senior Software Developer Agentic AI Experimentation & Prototyping
Type: Fulltime Perm
Salary Range: $100000 - $130000 CAD as base depending on overall experience bonus(total comp up to 150k) 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
Were looking for a hands-on innovator who thrives at the cutting edge of whats possible with agentic AI this role you will design and deliver experimental proof-of-concept projects ranging from one to four weeks in length that explore high-potential but high-risk ideas. The goal: to push the boundaries of agentic AI surface breakthrough opportunities and identify which concepts could become transformative products.
This position is ideal for a self-starter who embraces rapid experimentation thrives in uncertainty and believes that failure is always an option on the path to discovery. Youll be tasked with exploring novel approaches testing unconventional ideas and turning what if into working prototypes.
Key Responsibilities
Experimental AI Prototyping
- Rapidly design build and iterate on proofs of concept that integrate agentic AI solutions into real-world workflows.
- Explore high-risk high-reward ideas with an eye toward surfacing scalable high-impact opportunities.
- Treat experimentation as the core productfocusing on speed learning and insight generation.
Creative Problem Solving
- Approach problems with an explorers mindset finding unconventional creative and novel ways to apply AI.
- Pivot quickly when ideas fail extract learnings and move to the next hypothesis.
- Blend engineering rigor with bold experimentation.
Agentic AI Expertise
- Experiment with multi-agent systems orchestration frameworks and emerging LLM tooling.
- Push the limits of AI-driven automation human-in-the-loop systems and autonomous agents.
- Establish patterns for safety observability and guardrails in experimental contexts.
Collaboration & Communication
- Share resultsboth successes and failuresopenly to inform future bets.
- Partner with product and research teams to evaluate feasibility and impact of promising prototypes.
- Advocate for an experimentation-first culture within the engineering org.
Minimum Qualifications
- 5 years building and delivering production or experimental software systems.
- Strong coding ability in at least one statically typed language (Go Java C#) and one scripting language (Python TypeScript Bash).
- Hands-on experience with AI/LLM tooling including prompt engineering and agent frameworks.
- Proven ability to independently scope prototype and deliver fast-turnaround projects.
- Comfort with ambiguity high failure rates and rapid iteration cycles.
- Curiosity-driven mindset with a demonstrated track record of creative problem solving.
Preferred / Bonus Skills
- Prior experience working in labs skunkworks teams or exploratory R&D groups.
- Familiarity with multi-agent orchestration autonomous systems and reinforcement learning.
- Exposure to design thinking rapid prototyping or innovation sprints.
- Background in human-computer interaction or applied AI research.
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.
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- AWS
- Data Structures
- Software Development
- Java
- Distributed Systems
