Software International (SI) is looking to solve the problem of pushing the boundaries of agentic AI systems for their global IT M&A client in the Toronto area.
Requirements
- Strong coding ability in at least one statically typed language (Go, Java, C-Sharp) and one scripting language (Python, TypeScript, Bash).
- Hands-on experience with AI/LLM tooling, including prompt engineering and agent frameworks.
- 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.
- 5+ years building and delivering production or experimental software systems.
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 productfocusing on speed, learning, and insight generation.
- 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.
- Experiment with multi-agent systems, orchestration frameworks, and emerging LLM tooling.
Other
- Self-starter who embraces rapid experimentation, thrives in uncertainty, and believes that failure is always an option on the path to discovery.
- Comfort with ambiguity, high failure rates, and rapid iteration cycles.
- Curiosity-driven mindset with a demonstrated track record of creative problem solving.
- Share resultsboth successes and failuresopenly to inform future bets.
- Partner with product and research teams to evaluate feasibility and impact of promising prototypes.
