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Ai Agent Jobs in Quebec (NOW HIRING)

Advanced Multi-Agent Orchestration: Design and build the core of GameFrame AI, implementing sophisticated multi-agent (LangGraph Swarm) and single-agent (ReAct) systems that translate user requests ...

AI agent role is to help speed up your hiring process by answering questions, confirming basic information, and identifying whether there's a mutual fit. The call or chat may be recorded so that our ...

Experience with vector databases, Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent frameworks * Experience with observability or monitoring for AI systems (tracing, evals ...

... AI agent solutions across PMO and COO use cases managing scope timeline risks and dependencies Provide handson solution design for Copilot Studio agents including prompt architecture RAG patterns and ...

Experience with Microsoft Copilot Studio, Power Platform, or similar AI agent platforms. * Experience with C# and .NET. * Experience working in Linux and Windows environments. * Strong understanding ...

AI/ML Engineer - Remote

Montreal, QC · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

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Ai Agent information

What is an AI Agent?

An AI Agent job typically involves designing, developing, and managing autonomous or semi-autonomous AI systems that can perform tasks, make decisions, and interact with users or other systems. AI Agents may be used in customer service, data analysis, automation, and decision-making processes. Professionals in this role often work with machine learning models, natural language processing, and reinforcement learning to enhance the capabilities of AI-driven agents.

What does an AI Agent do?

AI Agents often work on projects that involve designing, developing, and optimizing AI-driven systems such as chatbots, recommendation engines, or automated decision-making tools. Daily tasks may include data preprocessing, model training and evaluation, troubleshooting system performance, and collaborating with data scientists, software engineers, and product managers to align solutions with business objectives. The work environment is typically collaborative, fast-paced, and outcome-oriented, allowing team members to contribute ideas and innovations regularly. Over time, AI Agents can progress into more specialized or leadership roles, taking on greater responsibilities and overseeing larger initiatives.

What are the key skills and qualifications needed to thrive as an AI Agent?

To thrive as an AI Agent, you need a strong background in artificial intelligence, machine learning, and data analysis, often supported by a relevant degree in computer science or a related field. Familiarity with programming languages such as Python, TensorFlow, and natural language processing (NLP) tools, as well as certifications in machine learning or AI technologies, is often required. Strong problem-solving abilities, teamwork, and effective communication skills are important for collaborating on complex projects. These abilities are essential for developing, maintaining, and improving AI-driven solutions that meet the needs of businesses and end-users.

How can I become an AI agent?

To become an AI agent, you typically need a background in computer science, data science, or related fields, along with skills in programming languages like Python and knowledge of machine learning frameworks. Gaining experience through relevant projects, certifications, or training in AI and automation tools can also be beneficial. Strong problem-solving skills and understanding of AI ethics are important for this role.

How much does an AI agent make?

The salary of an AI agent varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Roles often require skills in machine learning, programming, and data analysis, with higher salaries for those with advanced certifications or specialized expertise.

What work can AI agents do?

AI agents can perform tasks such as data analysis, automation of repetitive processes, customer support through chatbots, and decision-making assistance. They often require skills in programming, machine learning, and familiarity with AI tools and platforms.

What are the most commonly searched types of Ai Agent jobs in Quebec?

The most popular types of Ai Agent jobs in Quebec are:

What are popular job titles related to Ai Agent jobs in Quebec?

For Ai Agent jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Ai Agent jobs in Quebec look for?

The top searched job categories for Ai Agent jobs in Quebec are:

What cities in Quebec are hiring for Ai Agent jobs?

Cities in Quebec with the most Ai Agent job openings:

Infographic showing various Ai Agent job openings in Quebec as of August 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution.

Full-time

Posted 5 days ago


Job description

ENGLISH WILL FOLLOW 

La technologie est au cur de toutes les offres d'Appnovation, du conseil a l'innovation numerique, en passant par la creation de produits et services digitaux. Le departement technologie se concentre sur la livraison de solutions logicielles qui permettent des experiences riches pour les utilisateurs, des applications mobiles et web a l'analytique avancee et l'apprentissage automatique, en passant par les plateformes de gestion de contenu et d'engagement.

Nos capacites technologiques reposent sur une expertise approfondie du cycle de vie du developpement logiciel, une creativite constante, une passion pour le metier et une collaboration etroite avec les autres disciplines - des ingredients essentiels a la reussite des experiences numeriques et des partenariats clients.

En tant qu'ingenieur IA / Agent - un Constructeur IA - vous rejoindrez une equipe dynamique et experimentee au cur de chaque pod, construisant et faisant evoluer la couche agentique de notre plateforme. Vous concevrez les serveurs MCP, outils, competences et pipelines graph-RAG qui rendent les documents intelligibles pour plusieurs grands modeles de langage, et collaborerez avec les equipes produit, donnees et QA pour ameliorer continuellement la qualite des reponses et l'ancrage factuel.

RESPONSABILITES PRINCIPALES

  • Construire et faire evoluer les serveurs MCP, outils et competences exposant la plateforme a plusieurs LLM (ex. : Claude, Gemini).
  • Concevoir et affiner le pipeline graph-RAG qui transforme les documents en representations de faits, entites et relations comprehensibles par les agents.
  • Implementer la recuperation sur plusieurs niveaux (document source, vector-RAG, graphe dense) et la relecture temporelle.
  • Collaborer avec l'equipe QA sur des ameliorations basees sur les evaluations pour la qualite des reponses et l'ancrage factuel.
  • Ecrire du code propre, bien teste et de qualite production, et participer aux revues de code.
  • Collaborer etroitement avec les equipes produit, donnees et QA dans un modele agile/sprint.
  • Documenter les designs, prompts et interfaces d'outils pour la maintenabilite et les transferts.
  • Surveiller les agents/modeles deployes, resoudre les problemes et iterer sur les performances.
  • Se tenir au courant du paysage en evolution rapide des outils LLM/agent.

QUALIFICATIONS

  • Baccalaureat en informatique, ingenierie ou experience pratique equivalente.
  • 5 ans et plus d'experience en genie logiciel, dont 2 ans et plus en applications IA/ML ou basees sur des LLM.
  • Maitrise de Python, avec une experience pratique en developpement d'applications LLM et en patterns agentiques.
  • Experience directe dans la construction de serveurs MCP, outils et competences.
  • Experience avec les systemes RAG et graph-RAG, bases de donnees vectorielles et embeddings.
  • Familiarite avec les bases de donnees graphes (Neo4j et/ou implementations graphes Postgres/Supabase).
  • Aisance a travailler avec plusieurs fournisseurs de LLM (ex. : Claude, Gemini).
  • Solides fondamentaux en genie logiciel : controle de version (Git), tests et CI/CD.
  • Solides competences en resolution de problemes et en communication, avec la capacite de travailler de facon autonome dans l'ambiguite.

QUI VOUS ETES

  • Vous pensez a comment automatiser et operer a grande echelle, pas seulement a resoudre le probleme immediat.
  • Vous comprenez la pensee lean.
  • Vous etablissez des standards eleves en matiere de qualite de code, de performance et de securite, et recherchez l'amelioration continue.
  • Vous avez de solides competences analytiques, en resolution de problemes et en prise de decision.
  • Vous adoptez une approche centree sur le client avec un vrai sens du service.
  • Vous developpez des relations positives avec les parties prenantes internes et externes, tout en gerant plusieurs initiatives aux priorites parfois concurrentes.
  • Vous faites preuve d'initiative, de passion et de fortes competences en communication et en collaboration dans un environnement transversal.
  • Vous etes reactif et vous epanouissez dans un environnement rapide, diversifie et en constante evolution.
  • Vous recherchez activement de nouveaux defis et apprenez rapidement de nouveaux concepts, modeles d'affaires et technologies.
  • Vous avez une experience prealable en consultation.
  • Une experience et des connections dans l'industrie des sciences de la vie sont un atout.

Technology is foundational to all of Appnovation's offerings, from consulting to digital innovation, to digital product and service creation. The technology department is focused on delivering software solutions that enable rich consumer experiences, from mobile and web applications to advanced analytics and machine learning, to content and engagement management service enablement platforms.

Inherent throughout our tech capabilities is deep expertise in the Software Development Life Cycle, a drive for creativity, a passion for the craft, and collaboration with other disciplines - all foundational ingredients in successful digital experiences and client partnerships.

As an AI / Agent Engineer - an "AI Builder" - you will join a highly motivated and experienced team at the core of every pod, building and evolving the agentic layer of our platform. You will craft the MCP servers, tools, skills and graph-RAG pipelines that make documents intelligible to multiple large language models, and partner with product, data and QA to continuously raise answer quality and factual grounding. We are looking for people who bring a strong, solution-focused mindset, thrive amid fast-moving AI tooling, and get things done.

KEY RESPONSIBILITIES
  • Build and evolve MCP servers, tools, and skills that expose the platform to multiple LLMs (e.g., Claude, Gemini).
  • Design and refine the graph-RAG pipeline that transforms documents into agent-friendly representations of facts, entities, and relationships.
  • Implement retrieval across multiple tiers (source document, vector-RAG, dense graph) and temporal replay.
  • Partner with QA on eval-driven improvements to answer quality and factual grounding.
  • Write clean, well-tested, production-grade code and participate in code reviews.
  • Collaborate closely with product, data, and QA in an agile/sprint model.
  • Document designs, prompts, and tool interfaces for maintainability and handover.
  • Monitor deployed agents/models, troubleshoot issues, and iterate on performance.
  • Stay current with the fast-moving LLM/agent tooling landscape.
QUALIFICATIONS
  • Bachelor's Degree in Computer Science, Engineering, or equivalent practical experience.
  • 5+ years of experience in software engineering, with 2+ years in AI/ML or LLM-based applications.
  • Strong Python, with hands-on experience in LLM application development and agentic patterns.
  • Direct experience building MCP servers, tools, and skills.
  • Experience with RAG and graph-RAG systems, vector databases, and embeddings.
  • Familiarity with graph data stores (Neo4j and/or Postgres/Supabase-based graph implementations).
  • Comfortable working against multiple LLM providers (e.g., Claude, Gemini).
  • Solid software engineering fundamentals: version control (Git), testing, and CI/CD.
  • Strong problem-solving and communication skills, with the ability to work independently in ambiguity.
WHO YOU ARE
  • You think about how to scale, automate and operate, not just how to build a solution to an immediate problem
  • You understand lean thinking
  • You set high standards for code quality, performance/scalability and security and seek continuous improvement
  • You have solid analytical, problem solving and decision-making skills
  • You have customer first mindset and a devotion to customer service
  • You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities
  • You have strong self-initiative, passion, interpersonal, oral and written communication and collaboration skills with the ability to work, influence and make an impact in a cross-functional environment with all levels of the organization
  • You are responsive and thrive in a fast-paced diverse high-performance environment with rapidly changing business needs
  • You actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies
  • You have prior experience in consulting
  • Prior experience and connections in the Life Sciences industry is preferred