Founding Engineer

Crossing Hurdles is partnering with a AI startup connecting research and AI companies with domain experts. It has built a network of 160,000+ experts and is expanding into a platform, with 10+ API integrations launching next quarter.

Quick Snapshot

• Role: Founding Engineer
• Compensation: $140K to $210K + meaningful equity
• Location: On-site, San Francisco
• Experience: 3+ years of full-stack experience, strong TypeScript, React, and Postgres skills, and experience with LLMs, voice AI agents, or evaluation systems
• Stack: TypeScript, Next.js, Python, Postgres, AWS

What you will do?

• Own and scale the recruitment engine, the algorithm that finds any niche audience in the world through network traversal, targeted ads, referrals, automated outbound, and anything else you can come up with.
• Build and extend the company's API that research tooling companies and AI data companies integrate against.
• Build and improve agents that screen experts through voice and chat, assess their work, identify fraud, and help our team run projects. Evaluate how they perform with real users and make their actions reliable and reviewable.
• Build marketplace systems for opportunity matching, pricing, feasibility estimation, and repeat engagement. Use what we learn from completed projects to improve who we recruit and how we match them.
• Design and build the expert experience, including onboarding, project instructions, ongoing work, and payouts. Work with experts and our operations team to understand where people get stuck and fix it.
• Own the behavior of what you ship in production. Investigate failures across the product, background jobs, and external services, and improve the systems that handle people s work, data, and money.
• Work directly with the CTO to shape the architecture behind autonomous agents, real-time voice, and a global expert marketplace. Our core stack includes TypeScript, Next.js, Python, Postgres, and AWS.

Why Consider It

• Work directly with the CTO and own projects from investigation through production.
• Build voice and chat agents for expert screening, fraud detection, work assessment, and operations.
• Develop recruitment, marketplace matching, onboarding, payment, API, and customer-integration systems.
• Help shape the product and technical architecture at a key stage of growth.