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About the Role
This is a founding engineering position at an early-stage data infrastructure company, working directly with the CTO to build core systems for extracting, analyzing, and visualizing web data at scale. You will own significant parts of the product, from autonomous agents and self-serve application design to distributed backend services processing thousands of requests per second. Your work will directly power enterprise customers who depend on reliable, structured web data every day.
What You'll Do
Build autonomous agents that solve real-world information extraction problems across diverse and unpredictable web environments.
Design and iterate on a full-stack, self-serve application that makes complex workflows intuitive for non-technical users.
Maintain and scale backend architecture to reliably handle thousands of requests per second and tens of millions of rows of data daily.
Contribute across the entire stack, including infrastructure as code, ML pipelines, and whatever else is needed to move fast.
What We're Looking For
5+ years of experience shipping production software, or equivalent demonstrated skill in a 0-to-1 environment.
Proven track record launching meaningful products on small, fast-moving, early-stage teams.
Hands-on experience building LLM applications and agentic systems, including RAG, model evaluation, and fine-tuning.
Strong background designing and maintaining high-scale distributed backend systems.
Full-stack development capability spanning backend, frontend, and infrastructure.
Comfort with infrastructure as code and deployment automation.
Deep domain knowledge in antibot systems, reverse engineering, JavaScript deobfuscation, or browser automation is a strong plus.
Experience with web scraping, data extraction, or web automation at scale is a strong plus.
Bias toward action, high ownership, and genuine excitement about early-stage startup pace and autonomy.
Compensation & Benefits
Salary range: $170,000 to $220,000 USD annually, plus equity. Visa sponsorship is available.
Location
On-site in New York City, NY. The team values in-person, side-by-side collaboration.
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