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Flatgigs

Senior Systems Engineer

Montreal, QC, Canada

Job type: Full-time
Apply by: Jan 27, 2027
Experience: 10+ years of experience
Posting language: English
Posted: Jul 31, 2026

Apply About employer

Applications open in a new tab.

Original job description

Our client is a global deep tech holding company working across roughly 10 countries and 30 businesses, in areas like fintech, data, and mobility (think transport, logistics, and smart cities). Most AI today is good at talking: answering questions, writing text, giving advice. Our client builds the part that's missing: AI that can act in the real world and run things, not just describe them. That matters most for the organisations that can't take risks with their data or their systems, like airports, banks, power grids, and governments. So our client builds AI that these organisations can fully own and control themselves, instead of relying on someone else's servers.

We are looking for a foundational engineer to work directly with leadership in defining system architecture and building the technical foundation of a new platform. You will bridge the gap between business needs and technical implementation by defining high (architecture) to low (component) level design for extending, scaling, and maintaining our AI SDK.

This is a high leverage role where one engineer is expected to deliver the impact of multiple traditional roles through strong system thinking and AI-assisted development. You will be one of the first critical hires, helping shape both the system and the future team.

Requirements

Responsibilities

Design systems across:
Architecture
Modules / Components / Containers
API contracts
Translate business needs into scalable and efficient technical systems
Use AI tools to:
Generate code
Critically review and validate outputs
Define and evaluate:
Testing strategies
Edge cases
Failure scenarios
Navigate and understand large codebases independently
Contribute to technical direction and hiring decisions

Requirements

Must Have

10+ years of experience
Strong system design and architecture skills
Ability to deeply understand and critique complex systems
Strong grasp of testing in complex environments
Experience working with AI-assisted development workflows

Preferred Qualifications

Generalist background across multiple domains
Experience building systems from scratch
Demonstrated ability to handle ambiguity and complexity
Recent hands-on coding experience including agentic coding

Not a Fit If

You specialize in a single language or stack
You prefer execution over system thinking
You are not actively adapting to AI-driven development
You have been fully removed from hands-on work

Apply About employer

More about this job

Responsibilities

Define system architecture and component-level designs for extending, scaling, and maintaining the AI SDK, working directly with leadership. Translate business needs into technical systems, use AI-assisted development tools to generate and validate code, and establish testing strategies that account for edge cases and failures.

Requirements

Requires 10 or more years of experience, strong system design and architecture skills, the ability to understand and critique complex systems, and a strong grasp of testing in complex environments. The ideal candidate has a broad generalist background, experience building systems from scratch, comfort with ambiguity, and recent hands-on experience with AI-assisted and agentic coding.

Skills

System Design
Systems Architecture
Component Design
API Design
Scalable Systems
AI-Assisted Development
Code Generation
Code Review
Testing Strategies
Edge-Case Analysis
Failure-Scenario Analysis
Codebase Analysis
Technical Direction
Hiring
Hands-On Coding
Agentic Coding

Visa sponsorship

Not detected in the job text

Keywords

AI SDK
Artificial Intelligence
Deep Tech
Fintech
Data
Mobility
Transport
Logistics
Smart Cities
System Architecture
System Design
Modules
Components
Containers
API Contracts
Scalability
Maintainability
AI-Assisted Development
Code Generation
Code Review
Testing Strategies
Edge Cases
Failure Scenarios
Complex Codebases
Agentic Coding
Technical Direction
System Building

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