About the Role
About the job AI Developer - AI Experimentation & Prototyping - Remote 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 - AI Experimentation & Prototyping - Remote
for our global IT SaaS client in the Toronto area.
Salary Range: $100,000 - $140,000 as base depending on overall experience + bonus + benefits + other great company perks such as AI tooling and AI conferencebudget
Remote within the United States or Canada (workday overlap from Pacific to Eastern time zones)
Role Overview We're looking for a hands-on innovator who thrives at the cutting edge of whats possible with agentic AI systems . In 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. You'll be tasked with exploring novel approaches, testing unconventional ideas, and turning what if into working prototypes.
Key Responsibilities 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 product focusing 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. Share results both successes and failures openly 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. 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.
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Computer Associates International, Inc., later CA, Inc., and CA Technologies, Inc., was an American multinational enterprise software developer and publisher that existed from 1976 to 2018. CA grew to rank as one of the largest independent software corporations in the world, and at one point was the second largest. The company created systems software that ran in IBM mainframe, distributed computing, virtual machine, and cloud computing environments.
