Member of Technical Staff (Applied AI Engineer) job opportunity at MLabs.

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Date2026-04-17T06:46:20.608Z bot
MLabs Member of Technical Staff (Applied AI Engineer)
Experience: 4-years
Pattern: full-time
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loacation Toronto, Canada
loacation Toronto....Canada
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Location:  Toronto (Office) On-site | Full-time Compensation: $140K - $260K 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. 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.

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