Software Engineer — Agentic Search Systems

We're looking for engineers who have shipped production search systems (especially agentic ones now that we're in the era of LLMs and agents) and are thinking hard about the requirements and optimizations of those systems.

You've probably:

• Owned relevance or retrieval on a system real users depended on

• Decided how to quantify impact and improvements with these systems.

• Built out systems related to agentic search.

• Scaled data infrastructure to power modern search systems.

This is a 25-minute conversational interview. No coding, no take-home. We want to hear how you actually think about search quality, evaluation, and the tradeoffs you've made in real systems. Bring war stories — the messier and more specific, the better.

If your interview stands out, we'll follow up with a paid 30-minute live conversation with our team — $200 for your time, paid on completion of the call.

If that sounds like you, apply and complete the interview. We review every submission.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.