Posted
13 Aug 2026
Last seen
13 Aug 2026
Location
United States
Lifecycle
fresh
Grade
C
About the jobMercor 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 SystemsType:ContractCompensation:$80–$150/hourLocation:RemoteRole 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.
QualificationsMust-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
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.
QualificationsMust-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