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Remote Integration Software Engineer Jobs in Surrey, BC

YO AI Labs

AI Software Engineer - Remote

Vancouver, BC · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Indiegraf

Senior Software Engineer

Vancouver, BC · Remote

CA$98K - CA$147K/yr

Senior Software Engineer This role reports to the Chief Technology Officer. This is a full-time ... remote, distributed team * Confidence in writing unit and integration tests * A track record of ...

Indiegraf

Senior Software Engineer

Vancouver, BC · Remote

CA$98K - CA$147K/yr

Senior Software Engineer This role reports to the Chief Technology Officer. This is a full-time ... remote, distributed team * Confidence in writing unit and integration tests * A track record of ...

YO AI Labs

Backend Engineer - Remote

Vancouver, BC · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

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All JobsIntegration Software Engineer JobsRemote Integration Software Engineer JobsRemote Integration Software Engineer Jobs in Surrey, BC

Remote Integration Software Engineer information

What is the difference between Remote Integration Software Engineer vs Remote API Developer?

AspectRemote Integration Software EngineerRemote API Developer
Required CredentialsBachelor's in CS or related field, experience with integration toolsBachelor's in CS or related field, experience with API design
Work EnvironmentCollaborates with cross-functional teams, remote or hybridWorks on API development, testing, and documentation remotely
Industry UsageUsed in software, SaaS, and enterprise integration projectsCommon in web services, SaaS, and mobile app development
Search & Comparison IntentOften compared for integration roles involving systems and data flowCompared for API-specific development and design roles

The Remote Integration Software Engineer and Remote API Developer roles share similar credentials and work environments but focus on different aspects of software development. The Integration Engineer emphasizes connecting various systems, while the API Developer specializes in designing and building APIs. Both roles are vital in modern software ecosystems and often overlap in skills and industry usage.

What is a remote integration software engineer?

A remote integration software engineer designs, develops, and maintains software that connects different systems or applications, often working with APIs, middleware, and cloud platforms. They typically collaborate with cross-functional teams and may use tools like version control and integration testing in a remote work environment.

What are popular job titles related to Remote Integration Software Engineer jobs in Surrey, BC?

For Remote Integration Software Engineer jobs in Surrey, BC, the most frequently searched job titles are:

What job categories do people searching Remote Integration Software Engineer jobs in Surrey, BC look for?

The top searched job categories for Remote Integration Software Engineer jobs in Surrey, BC are:

What cities near Surrey, BC are hiring for Remote Integration Software Engineer jobs?

Cities near Surrey, BC with the most Remote Integration Software Engineer job openings:

Remote Integration Software Engineer jobs near you
Infographic showing various Remote Integration Software Engineer job openings in Surrey, BC as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Software Engineer - Remote

YO AI Labs

Vancouver, BC • Remote

$80 - $120/hr

Full-time

Posted 4 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.