Forward Deployed AI Engineer

Burj Line Builders; Toronto; Hybrid; CAD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive equity package

Job summary

Burj Line Builders is seeking an AI Deployment Engineer in Toronto for a highly hands‑on role that spans discovery to production. You will work with portfolio companies to design and deploy production‑grade AI and agentic solutions, integrating back‑end systems and user interfaces.

The position requires 3–6 years of full‑stack or related engineering experience, strong TS/Python/React/SQL skills, and experience with production LLM apps.

Qualifications

• 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, not just demos.
• Familiarity with evaluations, monitoring, autonomy controls, and measuring outcomes for AI‑powered systems.
• Experience working directly with customers, operators, or business stakeholders.

Responsibilities

• Work directly with portfolio companies to understand 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 autonomy.
• Partner with general managers and non‑technical stakeholders to translate business needs into practical technical solutions.
• Take ownership of deployments from discovery through production rollout and stabilization.
• Document successful approaches and patterns for reuse across businesses.
• Travel regularly to portfolio company locations and work on‑site.

Skills

TypeScript

Python

React

SQL

LLMs / Foundation Models

Agentic Workflows

Tools

Snowflake

Databricks

Apache Iceberg

Event-driven Systems

Job description

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

About the Role

We’re looking for aAI 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 experiencein full‑stack engineering, customer‑facing software engineering, solutions engineering, or forward‑deployed engineering.
• Strong full‑stack development skills, includingTypeScript 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 ModelToronto
• Hybrid role with a minimum of3 days per week in‑office; 4 days preferred.
• Approximately3 days per week of domestic travelto 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 fundingfrom a group of institutional investors, technology entrepreneurs, and long‑term investment partners.