Company Description

Our client is a fast-growing AI company building autonomous AI agents for the physical goods economy. Their platform enables enterprises to automate complex workflows across distribution manufacturing insurance healthcare and supply chain operations by integrating directly with legacy enterprise systems.

Backed by leading investors and experiencing rapid customer growth the company has already deployed its AI agents within large enterprise organizations and is expanding aggressively to meet customer demand. Engineers joining today will work on some of the most challenging problems in agentic AI enterprise automation and human-AI collaboration.

What You Will Do

• Build and improve AI agents operating within complex enterprise environments
• Design and develop production-grade software used by enterprise customers
• Work closely with product design business and engineering teams to deliver new capabilities
• Participate directly in customer deployments and implementation discussions
• Integrate AI systems with CRMs ERPs and legacy enterprise software
• Build scalable backend systems and workflows supporting agent execution
• Improve reliability through testing monitoring and CI/CD best practices
• Contribute to architecture discussions and platform scalability initiatives
• Stay current with emerging AI infrastructure and software engineering technologies

Ideal Candidate Background

• 02 years of professional software engineering experience
• Strong internship co-op or new graduate experience at startups or technology companies
• Degree in Computer Science Engineering Mathematics or another STEM field
• Strong software engineering fundamentals and computer science knowledge
• Experience shipping production-quality software
• Strong understanding of systems design and scalable architecture concepts
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Demonstrated leadership through clubs teaching assistant roles athletics research or entrepreneurial projects

Preferred

• Experience building AI applications using LLMs RAG systems agents or model integrations
• Familiarity with Kubernetes and modern cloud-native infrastructure
• Experience with Python TypeScript or other backend programming languages
• Experience in supply chain logistics manufacturing insurance or enterprise software environments
• Previous startup experience
• Experience working directly with customers or stakeholders
• Open-source contributions hackathon projects or entrepreneurial initiatives

Compensation and Benefits

• Competitive base salary: CA$75000 CA$90000
• Equity package
• Opportunity to work directly with enterprise customers and executive leadership
• Rapid career growth in a high-performance environment
• Exposure to cutting-edge AI agent development and enterprise deployments
• Work alongside engineers from top universities and leading technology companies
• Significant ownership and responsibility from day one

This is an ideal opportunity for ambitious early-career engineers who want to build production AI systems work directly with customers and accelerate their growth within a fast-moving AI startup.