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Ikuto

Forward Deployed Engineer

Toronto, ON, Canada

$180,000 to $260,000 CAD / year · Full-time

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Job details

Pay: $180,000 to $260,000 CAD / year
Job type: Full-time
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Forward Deployed Engineer (Full-Stack & Agentic AI)

Location: Toronto, ON (Hybrid - 3+ days/week in-office)

Compensation: $180,000 - $260,000 base + Great Equity Package

The Opportunity

I am partnering with the leadership team of an exceptionally fast-growing, $250M Series B software holding company to build out their core Forward Deployed Engineering (FDE) pod in Downtown Toronto.

Instead of the traditional private equity model of buying companies to flip them or cut costs, their model is completely differentiated: they acquire profitable, essential vertical B2B SaaS businesses ($1M–$20M+ ARR) and permanently hold them.

They accelerate these businesses by deploying their own proprietary AI-native operating platform across the portfolio. We aren't looking for consultants or demo-builders - they ship running software, not slide decks.

As an FDE, you will be the tip of the spear: embedding directly with the leadership of acquired portfolio companies to land production agentic software that materially moves their business metrics.

What You’ll Do

Embed Deeply with Portfolio Companies: Sit shoulder-to-shoulder with the GM, operators, and customer success leads. Spend your first few weeks understanding how the business actually runs, where revenue flows, where time is wasted, and earn the trust of local operators before touching architecture.
Find the Leverage: Identify the 2–3 high-impact workflows where agentic AI moves the needle - whether that is churn deflection, intelligent lead enrichment, automated AR follow-ups, support routing, or pricing optimization. You pick the wedge, not a cosmetic wish list.
Ship the Wedge Solo: Build the integrations, prompts, evals, agentic workflows, and UI surfaces required to land the first production loop into the company's live systems.
Operate & Tune the Loop: Stay close to the software after go-live. Monitor telemetry, tune prompts, adjust autonomy gating as the system earns operator trust, and hand it off cleanly once stabilized.
Compound Learnings Back to HQ: Codify field discoveries into reusable playbooks and platform primitives. The goal is simple: the 10th deployment in a SaaS vertical should be 10x faster than the 1st.

Who You Are

Strong Full-Stack Generalist: You are fluent in backend TypeScript or Python, proficient in React and SQL, and completely comfortable dropping into an unfamiliar, 10-year-old codebase on day one to start shipping.
Shipped Production LLM/Agentic Systems: You’ve moved well beyond toy demos, wrappers, and cursor prototypes. You understand how to write regression evals, structure human-in-the-loop workflows, handle tool-calling failures, and set appropriate autonomy tiers for sensitive actions.
Operator Instincts: You can read a P&L. You understand why a 5% improvement in support deflection or churn-save often creates more enterprise value than a vanity feature launch.
High Autonomy, Low Ego: You will frequently be the sole engineer on the ground at a portfolio company. You must be decisive without a committee, defend technical trade-offs, and pivot gracefully when evidence points elsewhere.
Clear Written Communicator: The business runs on crisp written documentation. You’ll write the wedge memo, GM updates, architecture RFCs, and the field playbooks that scale to other companies.

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More about this job

Responsibilities

Embed with portfolio company teams to identify high-impact business workflows and independently build and deploy production agentic AI software, including integrations, evaluations, workflows, and user interfaces. Monitor and improve deployed systems, then document field learnings as reusable playbooks and platform components for future deployments.

Requirements

Candidates should be full-stack generalists fluent in backend TypeScript or Python, proficient in React and SQL, and comfortable working in unfamiliar legacy codebases. They should have experience shipping production LLM or agentic systems, strong business and operational judgment, high autonomy, and clear written communication skills.

Skills

Backend TypeScript
Python
React
SQL
Full-Stack Development
Agentic AI
Large Language Models
Regression Evaluation
Human-in-the-Loop Workflows
Tool Calling
Prompt Engineering
Workflow Automation
Software Integration
Telemetry Monitoring
Technical Documentation

Benefits

Equity

Visa sponsorship

Not detected in the job text

Keywords

Forward Deployed Engineering
Full-Stack Development
TypeScript
Python
React
SQL
Agentic AI
Large Language Models
Production Software
Regression Evaluations
Human-in-the-Loop
Tool Calling
Prompt Engineering
Autonomy Tiers
Workflow Automation
Software Integrations
Legacy Codebases
Telemetry
Churn Deflection
Lead Enrichment
Accounts Receivable Follow-Ups
Support Routing
Pricing Optimization
Vertical B2B SaaS
Portfolio Companies
Operating Platform
Playbooks
Technical Documentation
Profit and Loss
Business Metrics

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