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Scale Ai Jobs (Flexible Options) in Quebec

Identify and scale high-value AI use cases with internal stakeholders, moving from experimentation to repeatable, well-governed adoption * Evaluate emerging AI capabilities and provide practical ...

Identify and scale high-value AI use cases with internal stakeholders, moving from experimentation to repeatable, well-governed adoption * Evaluate emerging AI capabilities and provide practical ...

Identify and scale high-value AI use cases with internal stakeholders, moving from experimentation to repeatable, well-governed adoption * Evaluate emerging AI capabilities and provide practical ...

Proven experience designing and deploying AI solutions at scale in enterprise environments ... Strong understanding of machine learning, deep learning, and generative AI architectures.

... AI, manufacturing, and operational excellence. The role As a Senior Backend Software Developer, you'll architect, design, build, deploy, operate and scale the backend platform that turns thousands of ...

New

With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America ...

In this role, you will combine AI, data, automation, and business strategy to build and scale a high-performing lead generation operation. You will identify opportunities to use AI agents, automation ...

Integrate AI agents with data pipelines, APIs, and existing systems. * Collaborate with business ... Ability to develop large-scale, structured software using software engineering best practices.

Senior Machine Learning Engineer

Montreal, QC · On-site

CA$147K - CA$220K/yr

Design, implement, and scale AI agent systems in Unity environments that enable goal-directed behavior, task planning and execution, and environment-aware decision-making. * Develop reusable agentic ...

Develop and maintain robust agentic frameworks ensuring the infrastructure can scale to meet the ... new AI agents. Ce que vous apportez Nos valeurs fondamentales * Nous formons une seule equipe

Lead workstreams within AI adoption and transformation initiatives. * Deliver impactful executive ... Experience leading and delivering large-scale projects. * Ability to interact with clients and ...

We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and ...

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Software Engineer - AI/ML & LLM - Remote

YO AI Labs

Montreal, QC • Remote

$80 - $120/hr

Full-time

Posted 10 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.