Full-time | Hybrid | Toronto | $180K$260K About the Role Were looking for aAI Deployment Engineer with 36 years of experience to work closely with portfolio businesses, understand their operational challenges, and build production-grade AI and agentic solutions that create measurable impact.

This is a highly hands-on engineering role.

Youll work directly with business operators and technical teams, taking projects from identifying the right opportunity through development, deployment, optimization, and handoff.

Youll have the opportunity to build systems that are actively used in real-world operations rather than working solely on prototypes or internal tooling.

What Youll Do 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 so they can be reused across other businesses.

Travel regularly to portfolio company locations and work closely with teams in office.

What Were Looking For 36 years of experiencein full-stack engineering, customer-facing software engineering, solutions engineering, or forward-deployed engineering.





Strong full-stack development skills, including

Type

Script or Python, React, and SQL.

Experience building and deployingproduction LLM or agentic applications, rather than experimental demos alone.

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.

Location & Work Model

Toronto Hybrid role with a minimum of3 days per week in-office; 4 days preferred.

Approximately23 days per week of domestic travelto portfolio company locations.

Compensation$180,000$260,000 Competitive equity package Technology Type

Script Python React SQL LLMs / Foundation Models Agentic Workflows Evals Snowflake Databricks Apache Iceberg Event-driven Systems 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 fundingfrom a group of institutional investors, technology entrepreneurs, and long-term investment partners.

📌 Forward Deployed AI Engineer (Toronto)
🏢 Qureos
📍 Toronto