Closed listing
Forward Deployed Engineer
- Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Experience
- Ideally, you have 3–6 years of software engineering experience, with the strongest profiles typically in the 4–6 year range.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
The Role
A heavily funded software company is building a Forward Deployed Engineering team to deploy production AI directly into the businesses it operates.
This is not traditional solutions engineering.
You’ll work directly with GMs and operators, understand how their businesses run, identify the highest-leverage workflows to automate, and then build the actual software end-to-end.
That Means Owning Everything From Discovery Through Production
You’re shipping real systems into live operations and owning whether they actually improve the business.
What You’ll Do
Ideally, you have 3–6 years of software engineering experience, with the strongest profiles typically in the 4–6 year range.
You Should Have
Especially Relevant Backgrounds Include
This role is probably not the right fit if your experience is primarily:
This is a high-autonomy environment.
You’ll be expected to operate like an engineer, product manager and technical operator at the same time - understanding the business problem, deciding what should be built, shipping it, and staying accountable for the outcome.
The role is based in Toronto and requires regular in-person work, along with travel to operating companies when needed.
Compensation
CA$180K–$260K base + equity
This is best suited to engineers who want broader ownership than a traditional SWE role and want to build AI systems against real operational problems rather than isolated technical features.
A heavily funded software company is building a Forward Deployed Engineering team to deploy production AI directly into the businesses it operates.
This is not traditional solutions engineering.
You’ll work directly with GMs and operators, understand how their businesses run, identify the highest-leverage workflows to automate, and then build the actual software end-to-end.
That Means Owning Everything From Discovery Through Production
- agents and LLM workflows
- prompts, evals and guardrails
- integrations and APIs
- backend systems
- React-based product surfaces
- SQL and data workflows
- deployment, monitoring and iteration
You’re shipping real systems into live operations and owning whether they actually improve the business.
What You’ll Do
- Embed with operating teams to understand messy, real-world business problems
- Identify the workflows where AI/software can create the most leverage
- Turn ambiguous operational problems into scoped technical solutions
- Build and deploy production-grade agentic systems end-to-end
- Work across Python/TypeScript, React and SQL
- Design evals, autonomy controls and human-in-the-loop workflows
- Integrate with existing systems and operational data
- Iterate with users after launch based on real production outcomes
- Work directly with senior operators and business leaders
- Turn successful deployments into reusable patterns that can scale across multiple businesses
Ideally, you have 3–6 years of software engineering experience, with the strongest profiles typically in the 4–6 year range.
You Should Have
- Strong full-stack engineering ability
- Experience with Python and/or TypeScript
- React experience
- Strong SQL/data fundamentals
- Experience shipping LLM or agentic systems into production
- Experience with evals, guardrails, tool use or autonomy controls
- Strong product judgment
- Comfort working directly with non-technical stakeholders
- Ability to take an ambiguous problem and own the solution from start to finish
Especially Relevant Backgrounds Include
- Forward Deployed Engineering
- Product Engineering
- Founding Engineering
- Full-Stack Engineering
- Applied AI Engineering
- Early-stage or high-growth startups
- Engineers who have worked at both a recognizable tech company and a startup
- Customer-facing engineers who have built and operated production software
This role is probably not the right fit if your experience is primarily:
- pre-sales or demo-focused solutions engineering
- internal prototypes without production ownership
- frontend-only or backend-only engineering
- research-focused AI without product delivery
- data annotation / AI training
- highly specialized Big Tech engineering with limited end-to-end ownership
This is a high-autonomy environment.
You’ll be expected to operate like an engineer, product manager and technical operator at the same time - understanding the business problem, deciding what should be built, shipping it, and staying accountable for the outcome.
The role is based in Toronto and requires regular in-person work, along with travel to operating companies when needed.
Compensation
CA$180K–$260K base + equity
This is best suited to engineers who want broader ownership than a traditional SWE role and want to build AI systems against real operational problems rather than isolated technical features.
More about this job
Responsibilities
Work with business operators to identify high-impact workflows and build, deploy, and operate production AI systems end-to-end. Integrate systems with existing tools and data, evaluate real-world outcomes, iterate with users, and develop reusable solutions that can scale across businesses.
Requirements
The role seeks an engineer with ideally 3–6 years of software engineering experience, strong full-stack skills, and experience shipping LLM or agentic systems into production. Candidates should have product judgment, strong SQL and data fundamentals, and the ability to own ambiguous problems while working directly with non-technical stakeholders.
Skills
- Full-Stack Engineering
- Python
- TypeScript
- React
- SQL
- Production AI Systems
- Agentic Systems
- LLM Workflows
- Evaluation Design
- Guardrails
- Tool Use
- Autonomy Controls
- API Integration
- Backend Systems
- Data Workflows
- Stakeholder Collaboration
Benefits
- Equity
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Data & Analytics
- Management & Leadership
Keywords
- Forward Deployed Engineering
- Production AI
- AI Agents
- LLM Workflows
- Python
- TypeScript
- React
- SQL
- Full-Stack Engineering
- Backend Systems
- APIs
- Integrations
- Evaluation Design
- Guardrails
- Tool Use
- Autonomy Controls
- Human-in-the-Loop Workflows
- Data Workflows
- Deployment
- Monitoring
- Production Software
- Operational Workflows
- Product Engineering
- Applied AI Engineering
- Startup Experience
- Stakeholder Collaboration
- Product Judgment
- Toronto