Member of Technical Staff (Applied AI Engineer)

MLabsToronto, ON
$140,000 - $260,000Onsite

About The Position

Our client is a high-growth, open-source infrastructure provider dedicated to the advancement of AI agents and web-based applications. By developing sophisticated browser infrastructure, the organization enables developers to deploy AI products that interact seamlessly with the web via a proprietary Sessions API. Following a period of exponential growth in 2025 driven by a robust open-source community and word-of-mouth adoption, our client is expanding its talent-dense team. This role offers the opportunity to shape the future of human-internet interaction by building the frameworks, developer tools, and benchmarks that make autonomous web browsing possible for AI. 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.

Requirements

  • 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.

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.

Benefits

  • 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.
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