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Crewai Jobs in Quebec (NOW HIRING)

Accenture

Senior AI Lead -Snowflake

Montreal, QC · On-site

... CrewAI, AutoGen, or similar). Hands on with Snowflake Cortex AI: Cortex Search, Cortex Analyst, Cortex LLM functions. You've built RAG and multi-agent systems on the Snowflake AI Data Cloud.

BRP

Data Scientist

Montreal, QC · On-site

Familiarity with AI agent frameworks and orchestration tools (LangGraph, LangChain, CrewAI, or similar) and agent harness * Experience with model explainability techniques (SHAP, LIME) and bias ...

BRP

Data Scientist

Montreal, QC

... CrewAI, or similar) and agent harness Experience with model explainability techniques (SHAP, LIME) and bias/fairness assessment in production contexts Knowledge of the full MLOps lifecycle: model ...

BRP

Scientifique des données

Montreal, QC

Familiarité avec les agents IA et les outils d'orchestration (LangGraph, LangChain, CrewAI ou similaires) et les environnements de test d'agents * Expérience des techniques d'explicabilité des ...

BRP

Data Scientist

Montreal, QC · On-site

Familiarity with AI agent frameworks and orchestration tools (LangGraph, LangChain, CrewAI, or similar) and agent harness * Experience with model explainability techniques (SHAP, LIME) and bias ...

BRP

Data Scientist

Longueuil, QC

Familiarity with AI agent frameworks and orchestration tools (LangGraph, LangChain, CrewAI, or similar) and agent harness * Experience with model explainability techniques (SHAP, LIME) and bias ...

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Crewai information

What are the key skills and qualifications needed to thrive as a crewAI engineer, and why are they important?

To thrive as a Crew AI Engineer, you need a strong background in computer science, AI/ML algorithms, and proficiency in programming languages like Python or Java, often supported by a relevant degree. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and possibly certifications like AWS Certified Machine Learning are typical requirements. Excellent problem-solving skills, teamwork, and adaptability help you stand out in this fast-evolving field. These skills ensure you can design, implement, and maintain robust AI systems that enhance team productivity and drive innovation.

What are some common challenges faced when coordinating tasks within a crewAI team, and how can they be effectively managed?

Crewai team members often work in dynamic, cross-functional groups, which requires effective communication and adaptability. Common challenges include aligning schedules across different time zones, ensuring clear task delegation, and maintaining consistent progress updates. These challenges can be managed by using collaborative project management tools, setting regular check-ins, and fostering a transparent team culture. Open communication and proactive problem-solving help ensure everyone stays informed and engaged.

What is a crewAI?

Crewai is not a traditional job title but rather a term related to CrewAI, an open-source framework that enables the creation and orchestration of collaborative AI agent teams to solve complex tasks. People working with Crewai typically build, configure, or manage multi-agent systems using this framework, often in tech or AI development roles. These professionals leverage agents—autonomous programs—to collaborate, communicate, and achieve shared objectives, streamlining workflows and automating sophisticated processes. Crewai experts are usually skilled in programming, artificial intelligence, and software integration.
What are popular job titles related to Crewai jobs in Quebec? For Crewai jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Crewai jobs in Quebec look for? The top searched job categories for Crewai jobs in Quebec are:
Crewai jobs near you
Infographic showing various Crewai job openings in Quebec as of July 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution.

AI Toolchain Software Developer

Lattice Semiconductor

Montreal, QC • On-site

Full-time

Re-posted 29 days ago

Job description

Lattice OverviewThere is energy here...energy you can feel crackling at any of our international locations. It's an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality. Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a "team first" organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you're looking for.Responsibilities & Skills

As an AI Toolchain Software Developer, you'll apply emerging agentic AI techniques to transform how we build software, from automated code generation and intelligent testing to AI-assisted code review and deployment. Working across DevOps, software development, QA, and ML research teams, you'll design and ship LLM-powered agents that streamline every stage of the development lifecycle. It's a hands-on role where you'll gain deep experience at the intersection of AI and software engineering, and see your work change how a real engineering organization ships products.

This is an in-person position with limited remote work possibilities.

Requirement

  • Have a degree in Computer Science, Computer Engineering, or a related field with minimum of 2 years experience in industry.
  • Proficiency in Python, with the ability to write clean, maintainable code for both prototyping and production environments.
  • Working knowledge of AI and large language model concepts, including prompt engineering and tool calling.
  • Strong problem-solving skills and a keen interest in agentic AI applications.
  • Solid experience with version control systems such as Git.
  • Familiarity with CI/CD pipelines, automated testing frameworks, or code review tooling.

Nice to haves

  • Experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar platforms, and with tool-integration protocols such as MCP (Model Context Protocol).
  • Familiarity with LLM APIs such as OpenAI, Anthropic, or open-source model serving solutions.
  • Understanding of retrieval-augmented generation (RAG), vector databases, or knowledge retrieval techniques.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying and scaling AI solutions.
  • We would love to see any software development or AI projects and code you have worked on.
Employment Type: FULL_TIME

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