Forward Deployed AI Engineer
$180k - $260k per yearQureos Inc
Full-time Hybrid Toronto $180K$260K
About the Role
Were looking for a AI 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 on-site.
What Were Looking For
36 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 23 days per week of domestic travel to portfolio company locations.
Compensation$180000$260000
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.
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