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Ai Agent Developer Jobs in Quebec (NOW HIRING)

AI products, including: * App Builder: Contribute to the development of our low-code agent builder platform. * Agent Studio & Agentless Chat Backend: Build scalable and performant backends for agent ...

... agent communication in multi-agent workflows. Your role requires finding a balance between ... Work closely with UX designers, developers, and other product team members to execute on the ...

... agent communication in multi-agent workflows. Your role requires finding a balance between ... Work closely with UX designers, developers, and other product team members to execute on the ...

... agent communication in multi-agent workflows. Your role requires finding a balance between ... Work closely with UX designers, developers, and other product team members to execute on the ...

... engineering, structured outputs, and evaluation frameworks.Experience building agentic AI systems with tool use, orchestration, and multi-step reasoning.Working knowledge of MCP or comparable agent ...

Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ... Integrate multimodal vision capabilities into forecasting and AI agent workflows. * Evaluate and ...

Ability to participate in fast-paced DevSecOps and System Engineering teams within Scrum Agile processes * Experience with AI agents, including designing, implementing, and optimizing agent-based ...

Ability to participate in fast-paced DevSecOps and System Engineering teams within Scrum Agile processes * Experience with AI agents, including designing, implementing, and optimizing agent-based ...

Ability to participate in fast-paced DevSecOps and System Engineering teams within Scrum Agile processes * Experience with AI agents, including designing, implementing, and optimizing agent-based ...

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Ai Agent Developer information

What is an AI Agent Developer job?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI Agent Developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

Is AI agent developer a good career?

AI agent developer is a growing field focused on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and data analysis, with job prospects improving as AI technology advances. The role offers opportunities in various industries such as tech, healthcare, and finance, often with competitive salaries and demand for specialized knowledge.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, AI research director, or chief AI officer, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes advanced degrees. Compensation at this level may include base salary, bonuses, stock options, and other benefits, reflecting the role's seniority and impact.

What are the key skills and qualifications needed to thrive in the Ai Agent Developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How much does an AI agent developer make?

AI agent developers typically earn a salary ranging from $80,000 to $150,000 annually, depending on experience, location, and skill level. Professionals with expertise in machine learning, natural language processing, and programming languages like Python tend to command higher salaries, especially in tech hubs or companies with advanced AI projects.

Are AI agents replacing developers?

AI agents are tools that can assist developers by automating repetitive tasks and improving efficiency, but they are not replacing developers entirely. The role of a developer involves complex problem-solving, creativity, and decision-making that AI cannot fully replicate. Developers continue to be essential for designing, maintaining, and overseeing AI systems and other software projects.
What are popular job titles related to Ai Agent Developer jobs in Quebec? For Ai Agent Developer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Ai Agent Developer jobs in Quebec look for? The top searched job categories for Ai Agent Developer jobs in Quebec are:
Infographic showing various Ai Agent Developer job openings in Quebec as of June 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Full Stack AI Engineer / Applied AI Engineer

Full Stack AI Engineer / Applied AI Engineer

Xsolla

Montreal, QC

CA$50K - CA$70K/yr

Other

Medical, Dental, Vision, PTO

Posted 27 days ago


Job description

ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
 
For more information, visit xsolla.com.
Responsibilities:
  • Design and develop full-stack applications that power GenAI applications and platforms
  • Develop and maintain frontend applications using Next.js with API routes.
  • Design and implement visually appealing and responsive user interfaces using Tailwind CSS / Shadcn or other CSS libraries.
  • Write clean, efficient, and scalable code in Python and TypeScript.
  • Work with various libraries or frameworks based on project requirements.
  • Be up-to-date with latest happenings in AI and Associated AI tools, technologies and frameworks (e.g. MCP, Agentic systems)
  • Build APIs and infrastructure to support LLM-based features, tools, and agent workflows.
  • Collaborate with frontend, ML, and product teams to create seamless AI experiences.
  • Optimize backend systems for performance, scalability, and reliability.
  • Work with vector databases, data pipelines, and AI model endpoints (OpenAI, Anthropic, Hugging Face, etc.)
  • Maintain clean, secure, and production-grade code
Qualifications & Skills:
  • 1-3 years of experience in full-stack development.
  • Proficient in Python and Typescript.
  • Strong experience with REST APIs, microservices, and scalable cloud infrastructure.
  • Experience building or supporting GenAI applications and/or LLM-powered products.
  • Comfortable working with and building Agentic systems (e.g. building custom Lovable or Claude Code for custom applications)
  • Exposure to cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
  • Excellent problem-solving, communication, and collaboration skills
Nice to Have:
  • Experience building and scaling AI-powered SaaS products
  • Contributions to open-source GenAI projects
  • Understanding of context engineering and agent orchestration frameworks
$50,000 - $70,000 a year
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. 
 
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
 
Criminal History Consideration:
For the Full Stack AI Engineer, we will conduct a background check that may include the following.
Criminal history check.
Employment verification.
Education verification.
 
Relevance to job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Handling sensitive financial information/ managing budgets /accessing funds
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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