Member of Technical Staff (Agents)

MLabs

Toronto

On-site

CAD 140,000 - 240,000

Full time

10 days ago
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Benefits offered by this job

Health & dental insurance
Brand-new laptop and workstation setup
Gym membership subsidies
Regular team events and off-sites

Job summary

MLabs is seeking a Senior/Member of Technical Staff in Toronto to define how AI agents navigate the web. You will build open-source frameworks, demonstrate high-impact demos, and improve the developer experience to make the platform indispensable for AI engineers.

Responsibilities include framework development, performance benchmarking, frontend-backend-model integration, and technical advocacy. Excellent communication and autonomy are essential for success.

Qualifications

  • 4+ years of experience writing production-grade code.
  • Experience building open-source tools or libraries for AI/agent integration is a plus.
  • Strong ability to communicate complex topics through writing.

Responsibilities

  • Build and maintain open-source tools and libraries for integrating AI agents with browser environments.
  • Design evaluation frameworks to measure reliability and efficiency of browser-based AI tasks.
  • Ship full-stack features by iterating across frontend, backend, and model integration.
  • Produce high-quality technical documentation and posts explaining engineering challenges.
  • Work with early adopters to ensure successful deployment of the platform.
  • Autonomy: thrive in a self-directed, highly autonomous work environment.
  • Communication: write clearly about complex concepts.
  • Developer Focus: focus on developer tooling and API design.
  • Product Sense: prioritize features that deliver developer value.

Job description

Location: Toronto (Office) On-site | Full-time Compensation: $140K - $240K

The Role: Member of Technical Staff (Applied AI)

The Senior Applied AI Engineer will play a pivotal role in defining how AI agents navigate the web. This individual will focus on building open-source frameworks and high-impact demos, while simultaneously refining the developer experience to ensure the platform remains indispensable for AI engineers.

Key Responsibilities
  • Framework Development: Build and maintain open-source tools and libraries that simplify the integration of AI agents with browser environments.
  • Performance Benchmarking: Design and implement evaluation frameworks to measure the reliability and efficiency of browser-based AI tasks.
  • Product Iteration: Move fluidly between frontend, backend, and model integration to ship full-stack features end-to-end.
  • Technical Advocacy: Produce high-quality technical documentation and posts that unpack complex engineering challenges and learnings.
  • Customer Collaboration: Act as a technical partner for early adopters to ensure successful implementation of the platform's infrastructure.
  • Engineering Excellence: 4+ years of experience writing high-quality, production-grade code.
  • AI-Native Workflow: A heavy user of AI agents within a day-to-day coding environment.
  • Full-Stack Capability: Proven experience shipping product features from design through to model integration.
  • Developer Focus: A strong interest in developer tooling and clear opinions on developer ergonomics and API design.
  • Communication: Exceptional technical writing skills and the ability to communicate complex concepts clearly.
  • Product Sense: Strong intuition for product-market fit and the ability to prioritize features that drive developer value.
  • Autonomy: The ability to thrive in a self-directed, highly autonomous work environment.
Compensation & Benefits
  • Compensation Range: $140,000 - $240,000
  • Health & Wellness: Comprehensive health and dental insurance for employees and their families.
  • Equipment: A brand-new, premium laptop and workstation setup.
  • Professional Growth: Participation in regular team events and off-sites.
  • Lifestyle: Gym membership subsidies to support physical well-being.
Interview Process
  • Initial Screening: A 30-minute introductory call with a Co-Founder.
  • Leadership Interview: A technical and strategic discussion with the CEO.
  • Technical Assessment: A coding-centric interview conducted by a Founding Engineer.
  • Final Stage: A full-day onsite session to meet the broader team and dive deep into technical challenges.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion.

We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

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