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About the Role
We are seeking an AI Deployment Engineer with 3-6 years of experience to collaborate with portfolio businesses, understand operational challenges, and develop production-grade AI and agentic solutions that deliver measurable impact. This is a hands-on engineering role involving direct work with business operators and technical teams, managing projects from inception through deployment and optimization.
Responsibilities
- Work directly with portfolio companies to understand their workflows, pain points, and business priorities.
- Identify high-impact opportunities where AI and agentic workflows can improve efficiency or outcomes.
- Build and deploy end-to-end solutions, including backend integrations, agent workflows, prompts, evaluations, and user-facing interfaces.
- Monitor production systems and continuously improve their reliability, performance, and level of autonomy.
- Partner closely with general managers and other non-technical stakeholders to translate business needs into practical technical solutions.
- Take ownership of deployments from initial discovery through production rollout and stabilization.
- Document successful approaches, technical patterns, and lessons learned for reuse across other businesses.
- Travel regularly to portfolio company locations and work closely with teams on-site.
Requirements
- 3–6 years of experience in full-stack engineering, customer-facing software engineering, solutions engineering, or forward-deployed engineering.
- Strong full-stack development skills, including TypeScript or Python, React, and SQL.
- Experience building and deploying production LLM or agentic applications.
- Familiarity with evaluations, monitoring, autonomy controls, and measuring outcomes for AI-powered systems.
- Experience working directly with customers, operators, or business stakeholders.
- Ability to independently take a project from understanding the problem through implementation and production deployment.
- Strong business judgment and the ability to understand operational workflows and translate them into technical solutions.
- Comfortable communicating with both highly technical and non-technical stakeholders.
Skills
- TypeScript
- Python
- React
- SQL
- LLMs / Foundation Models
- Agentic Workflows
- Evals
- Snowflake
- Databricks
- Apache Iceberg
- Event-driven Systems
Location
- Toronto
Work Type
- Full-time
- Hybrid
- Domestic travel
Experience Level
- 3–6 years
Salary/Compensations
- $180K–$260K
Benefits
- Competitive equity package
About the Company
- They are a technology-focused software holding company that acquires, builds, and grows vertical-market software businesses for the long term.
- The company partners with founders who have built strong businesses by deeply understanding their customers and industries.
- Rather than pursuing short-term exits, the organization takes a long-term approach, investing in the continued growth, technology, and operations of the businesses it acquires.
- The company has raised $250M in Series B funding from a group of institutional investors, technology entrepreneurs, and long-term investment partners.