Search Systems Engineer - Fully Remote

Mercor; San Francisco (CA); À distance; GBP 83 000 - 156 000; Temps partiel

Résumé du poste

Mercor is hiring a Software Engineer for Agentic Search Systems to help improve AI-driven search by evaluating AI-generated content and reinforcing model rigor. The role focuses on building and scaling agentic search capabilities, with a strong emphasis on data infrastructure to support efficient retrieval and reliable performance.

The ideal candidate ships production search systems, owns relevance and retrieval for real users, and can quantify improvements across models and systems.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Production search systems

Relevance retrieval ownership

Quantify impact in search

Agentic search development

Data infrastructure scaling

Description du poste

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 per task
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.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [e-mail]

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