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

mercor; Deutschland; Remote; EUR 98,000 - 184,000; Full time

Job summary

Mercor is seeking a Software Engineer to work on Agentic Search Systems. This remote contract role focuses on evaluating AI-generated content and building robust search infrastructures with a focus on real-user relevance.

You will collaborate with AI research teams, scale data pipelines, and deliver improvements in model performance while working asynchronously to meet deadlines.

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.

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.

Skills

Production search

Relevance ownership

Impact quantification

Agentic search

Data infrastructure scaling

Job description

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

• 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.