About the job
Join Our Team as a Member of Technical Staff (Applied AI Engineer)
Location: Toronto
Onsite | Full-time
Compensation: $140K - $260K
At mlabs, we are pioneering an open-source browser infrastructure that fuels the next generation of AI agents and applications. Our high-performance Sessions API empowers developers to create products that engage with the web as effortlessly as humans do.
Having achieved an impressive 50x growth in our platform in 2025 through organic word-of-mouth and a robust open-source community (over 6,000 GitHub stars), we are seeking a talented engineer to help us redefine browser automation. Our dedicated, high-caliber team is backed by top-tier investors, and we operate with an intense focus on shaping the future of the internet.
The Role
In this pivotal position, you will bridge the gap between product, research, and community engagement. This role transcends traditional ML or DevRel functions—it's a blend of both. You will collaborate with AI agent developers and our core infrastructure, working closely with the founding team to prioritize and design what we build.
Your responsibilities will include conducting experiments to assess the effectiveness of various AI models for browser automation, translating those findings into frameworks, research, and engaging content that resonates with developers. We thrive on hard work and rapid execution, and we expect the same vigor from our team; late nights and weekend work are part of the journey toward creating something extraordinary.
Key Responsibilities
- Develop a TypeScript browser agent framework that integrates LLMs with our core systems.
- Conduct experiments to determine the most effective models (such as GPT-4, Claude, Gemini) and prompting strategies for complex web tasks.
- Create open-source demonstrations and integrations with frameworks like LangChain, CrewAI, and other emerging agent platforms.
- Author technical blog posts and research publications that position our team as leaders in the browser automation space.
- Collaborate with our Growth Lead to transform experimental insights into compelling content that boosts developer adoption.
Requirements
- Experience: A minimum of 4 years in engineering with a proven track record of delivering production AI agents (e.g., web scraping, form filling, research automation).
- AI Literacy: A profound understanding of current LLMs, frameworks, and techniques, with the ability to assess model trade-offs quickly.
- Tech Stack: Strong expertise in TypeScript/JavaScript and Python. Familiarity with React, Node.js, and browser automation is a significant advantage.
- Open Source: You are experienced in open-source development—having contributed to or maintained OSS projects and understanding how to foster community engagement around code.
- Communication: You possess a passion for teaching and are skilled at writing technical content that inspires and informs others.

