T
Talent@ Beta
Steel

Member of Technical Staff - Applied AI

Steel · Seed · Website

Role Details

Location
Toronto
Salary (est. USD)
~$153K - $238K (est. USD)

Estimated based on role seniority, company stage (Seed), and industry benchmarks. Actual compensation may vary.

How is this calculated?
Seniority band Staff / Principal
Base range $180K – $280K
Stage adjustment Seed (−15%)
Adjusted range $153K – $238K

Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).

Department
Engineering
Type
Full-time
Vertical
AI
Posted
1 week ago

Job Description

About Steel

Steel is building open-source browser infrastructure for AI agents and apps. We make it easy for developers to ship AI products that interact with the web using our Sessions API.

With over 6,000 GitHub stars, dozens of paying customers, and millions of sessions served monthly, we grew our platform 50x in 2025 purely through word-of-mouth and our open-source community. Backed by world-class investors, we're building a small, highly motivated, talent-dense team that's shaping the future of how humans interact with the internet.

More on the problems we're solving: https://docs.steel.dev/overview/intro-to-steel

The Role

We're looking for an exceptional engineer to shape how AI agents interact with the web by building the open-source frameworks, demos, and developer experience that make Steel indispensable for AI developers.

Sample projects include...

  • Building developer tools to run browser agents on top of Steel's Sessions API

  • Running experiments to figure out which models, prompts, and architectures actually work for browser automation

  • Building eval sets to rigorously benchmark models + harnesses against real world scenarios

  • Creating open-source demos that show what's possible with AI agents and browsers

  • Writing technical posts unpacking a 2-day agent debugging session and what you've learned

  • Working with customers to understand their browser agent needs and translating feedback into product features and improvements

  • Building integrations with popular developer tools, agents, harnesses, etc across the AI engineering stack

Requirements:

  • 4+ years writing high-quality, production code

  • Have shipped AI agents that do real things

  • Strong TypeScript/JavaScript and Python

  • Comfortable creating content — blog posts, demos, experiments, tutorials

  • Product-minded — you ship what customers want, not just cool research

  • Are product-minded and ship features customers want, not just cool research projects. You balance innovation with pragmatism and know when to iterate

  • You’ve shipped full-stack product features end-to-end and enjoy moving between frontend, backend, and model integration.

  • Are open-source native. You've contributed to or maintained OSS projects and understand how to build community around code

  • Thrive taking projects from 0 to 1 with minimal guidance and love owning things end-to-end

  • If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.

Applying

If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an on-site in our office, where you'll work on a small project, discuss ideas, and meet the team.

About Steel

Open-source browser API for AI agents with anti-bot protection and session persistence.

View company profile

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