Closed listing
Full Stack Engineer
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
$180,000 to $240,000 CAD / year · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $180,000 to $240,000 CAD / year
- Job type
- Full-time
- Closing date
- Experience
- 8+ years of professional software engineering experience.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Founding/Senior Full-Stack AI Engineer
Toronto, ON | Full-Time
Build AI agents that power real fintech operations.
We're building AI agents that don't just answer questions; they automate critical operational work for fintech companies, from reconciliation and onboarding to customer support and financial analysis. These systems run in production, make decisions that matter, and are trusted by paying customers every day.
We're looking for a Senior Full-Stack AI Engineer who thrives in ambiguity, loves building from scratch, and wants to shape the next generation of AI products alongside an experienced founding team.
What You'll Do
- Own AI features and products from idea to production with end-to-end responsibility.
- Design and build LLM-powered agents, including prompt engineering, tool orchestration, evaluations, and guardrails.
- Develop across the full stack using TypeScript and Node.js.
- Turn loosely defined problems into scalable, customer-ready solutions.
- Work directly with the founders to build technology that solves real business problems.
- Ship quickly, iterate based on customer feedback, and continuously improve AI reliability.
What We're Looking For
- 8+ years of professional software engineering experience.
- Deep experience building production applications with TypeScript and Node.js across the full stack.
- Proven experience shipping LLM-powered products into production.
- Daily user of AI coding tools (Claude Code, Cursor, GitHub Copilot, etc.) with the ability to evaluate and improve AI-generated code.
- Strong startup background with a track record of owning products end-to-end.
- Comfortable making decisions with limited direction and delivering independently.
- Passion for building new products rather than maintaining legacy systems.
Nice to Have
- Experience building AI agents, RAG systems, or evaluation frameworks.
- Fintech or other regulated industry experience.
- Founding engineer or early startup experience.
- Cloud infrastructure, CI/CD, and DevOps ownership.
Why Join Us?
- Build truly novel AI technology. You'll work on AI agents that businesses depend on, not demos or prototypes.
- Real customer impact from day one. Your work will be deployed to paying customers within weeks.
- High ownership. You'll make architectural decisions and own products from concept to launch.
- Learn from an exceptional founding team. Our founders bring expertise from Google, McKinsey, Dow Jones, Fortinet, and one of the engineering teams behind a leading AI company in a regulated industry.
- Meaningful equity. Join early and help shape both the product and the company.
- Backed by leading fintech and enterprise investors with strong traction and growing customer demand.
More about this job
Responsibilities
Design and build production-ready AI agents to automate critical fintech operations such as reconciliation and onboarding. Own AI features end-to-end, from initial idea and prompt engineering to scalable deployment and iteration based on customer feedback.
Requirements
Requires 8+ years of professional software engineering experience with deep expertise in TypeScript and Node.js. Must have a proven track record of shipping LLM-powered products into production and experience working in a fast-paced startup environment.
Skills
- TypeScript
- Node.js
- LLM-powered Agents
- Prompt Engineering
- Tool Orchestration
- RAG Systems
- Full Stack Development
- AI Evaluations
- Guardrails
- Cloud Infrastructure
- CI/CD
- DevOps
- Fintech
- Software Engineering
- Product Ownership
- AI Coding Tools
Benefits
- Meaningful Equity
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Finance & Accounting
- Data & Analytics
Keywords
- TypeScript
- Node.js
- LLM
- AI Agents
- RAG
- Fintech
- Prompt Engineering
- Claude Code
- Cursor
- GitHub Copilot
- Full Stack
- Software Engineering
- Cloud Infrastructure
- CI/CD
- DevOps
- Evaluations
- Guardrails
- Tool Orchestration
- Scalability
- Production AI