Forward Deployed AI Engineer

Qureos; Toronto; Hybrid; CAD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive equity package

Hybrid Toronto work model

Job summary

Qureos in Toronto is seeking an AI Deployment Engineer with 3-6 years of hands-on full-stack experience to deliver production-grade AI and agentic solutions for portfolio businesses. You will own deployments end-to-end, collaborating with operators and engineers, and travel to portfolio sites.

The role emphasizes tying business needs to technical design, reliability, and measurable outcomes. This hybrid Toronto role requires strong TS/Python, React, SQL, and experience deploying LLM-based

Qualifications

• 3–6 years in full-stack or customer-facing software engineering.
• Strong TS, Python, React and SQL skills with production experience.
• Experience deploying production LLM or agentic apps, not demos.

Responsibilities

• Work with portfolio companies to understand workflows and priorities.
• Identify high-impact AI opportunities to improve efficiency.
• Build and deploy end-to-end AI solutions with integrations and UI.
• Monitor production systems and improve reliability and autonomy.
• Translate business needs for non-technical stakeholders.
• Own deployments from discovery to rollout and stabilization.
• Document patterns and lessons for reuse across teams.
• Travel to portfolio sites regularly, on-site collaboration.

Skills

Full-stack

TypeScript

Python

React

SQL

LLMs

Agentic Workflows

Evaluations

Snowflake

Databricks

Apache Iceberg

Event-driven

Tools

Snowflake

Databricks

Apache Iceberg

Job description

Full-time | Hybrid | Toronto | $180K-$260K

About the Role

We’re looking for a AI Deployment Engineer with 3-6 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. You’ll work directly with business operators and technical teams, taking projects from identifying the right opportunity through development, deployment, optimization, and handoff. You’ll have the opportunity to build systems that are actively used in real-world operations rather than working solely on prototypes or internal tooling.

What You’ll 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 on-site.

What We’re Looking For

• 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, 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 ModelToronto

• Hybrid role with a minimum of 3 days per week in-office; 4 days preferred.

• Approximately 2-3 days per week of domestic travel to portfolio company locations.

• Compensation$180,000-$260,000

• Competitive equity package

Technology

• TypeScript

• 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 funding from a group of institutional investors, technology entrepreneurs, and long-term investment partners.