Search Systems Engineer - Expert

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

Job summary

Mercor is seeking a Software Engineer for Agentic Search Systems in a remote role. You will evaluate AI-generated content accuracy in search, develop and optimize agentic search systems, and scale data infrastructure to boost retrieval capabilities.

Collaboration with AI research teams will quantify impact while you work independently to meet deadlines and improve model performance. The position emphasizes shipping production search systems with ownership of relevance and retrieval for real-user

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.
• Develop and optimize systems related to agentic search for better performance.
• Scale data infrastructure to support modern search systems and improve 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

Search systems

Agentic search

Data infrastructure scaling

Independent work

Remote collaboration

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.