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Langgraph Jobs in Quebec (NOW HIRING)

... LangGraph or Semantic Kernel. * Minimum 1 year of experience architecting and operationalizing LLM driven application architecture patterns. * Bachelor's Degree or completion of college diploma in ...

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Experience with LLM tool integrations and orchestration tools like LangChain or LangGraph . * Architectural Leadership: Deep expertise in complex system design, architectural thinking, and API ...

Connaissance des plateformes cloud ou des frameworks modernes de ML/agents (par exemple, PyTorch, LangGraph, CrewAI) * Experience dans l'utilisation d'assistants de codage IA (tels que Cursor ou ...

Experience designing and deploying production AI systems (e.g., APIs, microservices, or agent-based systems) Familiarity with LLM orchestration frameworks (e.g., LangChain, LangGraph) and vector ...

... 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 ...

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Langgraph information

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 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 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 job categories do people searching Langgraph jobs in Quebec look for? The top searched job categories for Langgraph jobs in Quebec are:
LLM Developer Senior Analyst

LLM Developer Senior Analyst

Accenture

Montreal, QC • On-site

Full-time

Posted yesterday


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services


Job description

We Are

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company ourGenerative AI and LLM Center of Excellencebrings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As an AI and Large Language Model Consultant, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions. You will translate business roadmap into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. You will architect sophisticated large language models (LLMs) based applications with the remarkable ability to process and generate natural language. Additionally, you will have the opportunity to integrate and customize LLMs with different kinds of business applications.

Your will be required to have and maintain a deep understanding of the evolving Gen AI and Agentic stack and expertise in leveraging it to build Gen AI-enabled applications and agentic workflows that deliver business value.

Position Responsibilities:

  • Architect and design end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery.

  • Leverage, customize and implement Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems.

  • Develop large language model (LLM)-based applications using open source frameworks like A2A, MCP, Semantic Kernel, LangChain, Llama Index.

  • Adapt LLMs to improve performance, accuracy and alignment of the general-purpose models

  • Develop and integrate LLMs and/or LLM applications into products and services.

  • Implement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consent based on the technical design.

  • Analyze and evaluate the performance ofGen AIsystems and provide design recommendations.

  • Analyze and make right technological choices for generative ai solutions.

  • Design and prototype reusable components for LLM based solution patterns.

  • Architect components of an LLM solution to address Responsible AI & Security.

  • Design LLM Ops solutions for large scale operationalization.

  • Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders.

  • Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.

  • Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.

  • Exploiting the transformative capabilities of transformer architectures to seamlessly process and reshape vast volumes of data, empowering the language model to achieve unprecedented levels of accuracy and versatility.

  • Travel may be required for this role.

  • This role is hybrid to Montreal office or the client's location.

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What you need:

  • Minimum of 2 years in AI engineering, machine learning, deep learning and NLP solutions and applications.

  • Minimum 2 years of experience in designing & deploying AI / Machine Learning solutions using at least one cloud vendor.

  • Minimum of 2 years of experience in Engineering teams with one or more programming languages and frameworks, such as Python, Javascript, Java, Spring or GoLang, showcasing a strong command over the technical foundations and mastery of one or more AI Frameworks like Autogen, LangGraph or Semantic Kernel.

  • Minimum 1 year of experience architecting and operationalizing LLM driven application architecture patterns.

  • Bachelor's Degree or completion of college diploma in related field

  • English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Bonus Points if you have

  • Fine Tuning Language Models, handing multi-modal inputs and outputs

  • Experience in Agentic workflows, Advanced Retrieval Augmentation Generation (RAG) design patterns and handling data pipelines.

  • Experience in developing applications for both mobile and web platforms, showcasing versatility and adaptability in diverse environments.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,
role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time
employment, for roles that may be hired as set forth below.
The recruiting efforts for this position are intended to fill a brand new position.
The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.
It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here:

Role Location Hourly Salary Range

British Columbia/Ontario $27.16 to $51.20


About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.


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