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Open nowPosted 5 days ago

Forward Deployed AI Engineer

abdulrauf1-1741255834233 open roles

Pay
$180,000 – $260,000 a year
Where
Toronto, Canada
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Your applicationOpen nowForward Deployed AI Engineerabdulrauf1-1741255834 · Toronto, Canada

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market. abdulrauf1-1741255834 postings stay open a median of 1 days.

Share of postings closed within
  1. 1.4%1 day
  2. 3.5%3 days
  3. 7.7%7 days
  4. 13.4%14 days
  5. 34.5%30 days
This job: posted 5 days ago

abdulrauf1-1741255834 median: 1 days open

The posting

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.

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