Search Systems Engineer - Fully Remote | Upto $150/hr

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Software Engineer — Agentic Search Systems
Type: Contract
Compensation: $80–$150/hour
Location: Remote
Role Responsibilities

- Evaluate the accuracy and depth of AI-generated content in search systems to strengthen reasoning and rigor in model outputs .

- Develop and optimize systems related to agentic search for improved performance and reliability.

- Scale data infrastructure to support modern search systems and enhance retrieval capabilities.

- Collaborate with AI research teams to quantify impact and improvements in search systems.

- Work independently and asynchronously to meet deadlines while improving AI model performance .

Qualifications

Must-Have

- Experience shipping production search systems.

- Ownership of relevance or retrieval on systems used by real users.

- Ability to quantify impact and improvements in search systems.

- Experience building systems related to agentic search .

- Experience scaling data infrastructure for search systems.

Interview Process

- 25 mins conversational interview. No coding, no take-home.

- Follow-up with a paid 30-minute live conversation if interview stands out; $200 for your time.

Application Process (Takes 20–30 mins to complete)

- Upload resume

- AI interview based on your resume

- Submit form

Resources & Support

- For details about the interview process and platform information, please check:

- For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas