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Python Llm Jobs in Montreal, QC (NOW HIRING)

Xsolla

Full Stack AI Engineer / Applied AI Engineer

Montreal, QC · On-site

CA$50K - CA$70K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

Levio

Conseiller.ere ML/IA

Montreal, QC · On-site

Soutenir les systemes bases sur les LLM, incluant les architectures RAG et l'optimisation de ... Excellente maitrise de Python et des frameworks ML (PyTorch, TensorFlow, scikit-learn) * Experience ...

LawZero

Senior ML Data Processing Developer

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

Develop and refine the scoring and filtering toolchain: heuristics, LLM-as-a-judge evaluators, ML ... Strong Python proficiency, including experience writing production-grade data-processing code.

hireVouch

Software Engineer - Research

Montreal, QC · On-site

Spin up rapid analyses in Python/Jupyter to assess signal quality, and turn what you find into system improvements. LLM & Agentic Systems * Build and operate agentic harnesses -- tools, context ...

Cogeco

Analyst, BI & Data

Montreal, QC · On-site

Familiarity with prompt engineering, LLM APIs, or framework development (e.g., LangChain, custom AI agents) to build data-querying bots. Python skills are a major asset. * Data Modeling: Solid ...

Cogeco

Analyst, BI & Data

Montreal, QC · Hybrid

Familiarity with prompt engineering, LLM APIs, or framework development (e.g., LangChain, custom AI agents) to build data-querying bots. Python skills are a major asset. * Data Modeling: Solid ...

BRP

Scientifique des données

Longueuil, QC · On-site

Maîtrise de Python pour l'analyse de données, la modélisation et les cadres d'apprentissage profond (PyTorch ou TensorFlow) * Expérience pratique avec les API de LLM et leurs outils (OpenAI ...

BRP

Scientifique des données

Montreal, QC · On-site

Maîtrise de Python pour l'analyse de données, la modélisation et les cadres d'apprentissage profond (PyTorch ou TensorFlow) * Expérience pratique avec les API de LLM et leurs outils (OpenAI ...

BRP

Scientifique des données

Laval, QC · On-site

Maîtrise de Python pour l'analyse de données, la modélisation et les cadres d'apprentissage profond (PyTorch ou TensorFlow) * Expérience pratique avec les API de LLM et leurs outils (OpenAI ...

Levio

Developpeur.euse Prompt IA

Montreal, QC · On-site

Diriger la mise en uvre d'applications de TAL (NLP), de solutions basees sur les LLM, de modeles ... Maitrise experte de Python et solide experience en developpement backend * Experience pratique avec ...

Tecsys Inc.

Senior Developer (AI / ML)

Montreal, QC · On-site +1

Design and deploy production AI/ML solutions using Python. * Develop LLM, RAG, and multi-agent AI applications. * Build APIs and AI services using FastAPI (or similar). * Implement MLOps best ...

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All JobsPython Llm JobsPython Llm Jobs in Montreal, QC

Python Llm information

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Montreal, QC? For Python Llm jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Montreal, QC look for? The top searched job categories for Python Llm jobs in Montreal, QC are:
Python Llm jobs near you

Full Stack AI Engineer / Applied AI Engineer

Xsolla

Montreal, QC • On-site

CA$50K - CA$70K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 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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