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Langgraph Jobs in Quebec (NOW HIRING)

Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph and modern agentic AI architectures * Strong understanding of RAG, vector databases, embeddings, semantic search ...

... LangGraph) et les bases de donnees vectorielles Experience des pratiques MLOps, notamment la gestion des modeles et des versions, les pipelines d'evaluation et la surveillance Solide comprehension ...

Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (LangGraph/LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK). * Specialization in at ...

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Langgraph information

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.

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

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

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

The top searched job categories for Langgraph jobs in Quebec are:

Infographic showing various Langgraph job openings in Quebec as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

Senior AI Developer, Agentic AI

CIMA+

Montreal, QC • Hybrid

Full-time

Retirement

Posted 16 days ago


Job description

Company Description

Welcome to a place where people are at the heart of everything we do.  

Welcome to people with an inspiring vision and who seek stimulating challenges. At CIMA+, you’ll find a place where you’ll have many opportunities to learn and develop while working on engaging projects.  

We are a firm 100% owned by its employees and we value a collaborative and entrepreneurial mindset. You will have the flexibility to manage your work on your own terms and define what work-life balance means to you.  

When you join CIMA+, we welcome you to a place that you can call home

Job Description

Build Enterprise AI Solutions That Make an Impact!

We're looking for a Senior AI Developer, Agentic AI to design, build, and operate production-grade AI solutions that accelerate productivity, innovation, and decision-making across CIMA+. As part of our growing AI team, you'll develop intelligent agents, generative AI applications, and AI-powered automations that solve real business challenges. Working closely with the AI Team Lead, AI Enablement team, business stakeholders, and developers, you'll help define the technical direction of our AI platform while mentoring junior engineers and establishing engineering best practices. If you're passionate about building enterprise-grade AI solutions and shaping the future of agentic AI, we'd love to hear from you. 

Primary Responsibilities 

  • Design, develop, deploy, and support production-ready AI applications, AI agents, and intelligent automations
  • Architect scalable agentic AI solutions using modern techniques such as RAG, multi-agent workflows, tool calling, memory management, and enterprise integrations
  • Translate business requirements into secure, scalable, and maintainable technical solutions
  • Build and integrate AI solutions with enterprise systems, APIs, databases, and cloud services
  • Implement development best practices, including testing, CI/CD, observability, monitoring, and performance optimization
  • Mentor junior developers through technical leadership, code reviews, and knowledge sharing
  • Contribute to AI standards, reusable components, and development practices that support CIMA+'s long-term AI strategy
Qualifications
  • Bachelor's degree in Computer Science, Software Development, Data Science, Engineering, or a related field, or equivalent professional experience
  • 5+ years of experience in software development, AI, or data engineering, including deploying generative or agentic AI solutions to production
  • Strong Python development skills and experience building APIs, microservices, and cloud-native applications
  • Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph and modern agentic AI architectures
  • Strong understanding of RAG, vector databases, embeddings, semantic search, prompt engineering, and AI evaluation techniques
  • Experience with Azure AI Foundry and the Azure ecosystem, including Azure AI Search, Azure Functions, API Management, Blob Storage, and Microsoft Entra ID
  • Strong communication, problem-solving, and collaboration skills with the ability to work effectively across technical and business teams
  • Bilingualism (French and English) is required to support operations across Canada
  • Integrity, team spirit, and a commitment to excellence

If you have any questions, please contact Ibrahima Amadou LY

#LI-Hybrid 

At CIMA+, we value diversity of talent and perspective. You think you can add value, but don't meet all the job requirements? We invite you to apply, because everyone has something unique to offer. The outstanding talents that choose to join us at CIMA+ soon realize that we go all out to encourage them to grow. We look forward to hearing how you can contribute to our success.  

Why choose CIMA+? Because we offer you: 

  • Comprehensive Group Benefits available from day one for all permanent employees working at least 20 hours per week 
  • Employee and Family Assistance Program 
  • Retirement Savings Plan (RRSP) with up to 4% employer contribution 
  • As an employee-owned company, an annual opportunity to purchase shares for all employees 
  • Flexible work schedule in a hybrid work mode  
  • Work/Life balance policy across Canada 
  • 3-5 weeks of vacation, based on years of relevant experience 
  • Tailored training to improve your existing skills

Additional Information

At CIMA+, we recognize the richness and diversity of each individual’s experience. Compensation for this role is therefore based on the candidate’s experience, skills, and qualifications, while maintaining internal equity. The level and associated salary may vary depending on the candidate’s profile.

CIMA+ uses an applicant tracking system that includes an automated match score feature. However, this score is not used to screen, assess, or select applicants. All hiring decisions are made through human review.

Ethics and integrity are fundamental values at CIMA+. That is why we are committed to ensuring equal access to resources and opportunities for candidates, regardless of their identity (race, ethnicity, colour, religion, gender, age, disability, sexual orientation, gender identity or expression, socio-economic status or background, etc.).​

In keeping with the principles of employment equity, we encourage all applications, including, but not limited to, those from women, Indigenous people, people with disabilities and visible minorities. We also encourage candidates to complete the self-identification form when applying for employment.​

Accommodations are available on request. Your Business Partner will process your request.

Find out about The CIMA+ advantage - CIMA+.