Search Systems Engineer - Expert
The role involves developing and optimizing agentic search systems to improve the accuracy and reliability of AI-generated content. Responsibilities include scaling data infrastructure and collaborating with research teams to quantify improvements in retrieval capabilities.
- Remote
- Montreal, Quebec, Canada
- Posted Aug 4, 2026
- Apply by Sep 3, 2026
- 1 position
Job summary
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: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
What you’ll do
The role involves developing and optimizing agentic search systems to improve the accuracy and reliability of AI-generated content. Responsibilities include scaling data infrastructure and collaborating with research teams to quantify improvements in retrieval capabilities.
Requirements
Candidates must have experience shipping production search systems and owning relevance or retrieval for real-user systems. Proficiency in building agentic search systems and scaling data infrastructure is required.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Agentic Search Systems
- Production Search Systems
- Information Retrieval
- Data Infrastructure Scaling
- AI Model Performance
- Search Relevance
- System Optimization
- Quantifying Impact
Job areas
- Software
- Engineering
- Technology
- Data & Analytics
- Science & Research
Additional details
- Minimum experience
- 5+ years
- Apply by
- Sep 3, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Greater Montreal Metropolitan Area
- Seniority
- Not Applicable