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Python Llm Jobs in Montreal, QC (NOW HIRING)

United Airlines

Python Backend Developer

Montreal, QC · On-site

Python: Overall 5+ years of development experience with hands-on experience in Python. * Proven ... Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into ...

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Microservices AI Developer

Montreal, QC · Remote

Work on Python-based API Microservices that provide AI-enabled and LLM powered solutions for business needs. * Keep up with the latest LLM technologies including OpenAI, Llama and Gemini.

Side

Microservices AI Developer

Montreal, QC · On-site

Work on Python-based API Microservices that provide AI-enabled and LLM powered solutions for business needs. * Keep up with the latest LLM technologies including OpenAI, Llama and Gemini.

Side

Microservices AI Developer

Montreal, QC · On-site

Work on Python-based API Microservices that provide AI-enabled and LLM powered solutions for business needs. * Keep up with the latest LLM technologies including OpenAI, Llama and Gemini.

Apertera

Generative AI Engineer

Montreal, QC · On-site

A Master's degree is preferred. * 2+ years of industry experience developing GenAI and LLM applications is preferred. * Proficiency in Python programming and software development practices, with ...

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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

Python Developer - AI Operations

Aylo Careers

Montreal, QC • Hybrid

Full-time

Re-posted 11 days ago

Job description

Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet's safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression - all while maintaining robust trust-and-safety protocols. 

We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). 

*A select number of positions require full-time in office attendance*

If you're a Python Developer with a passion for AI and Large Language Models and want to get the chance to work on cutting-edge AI-powered products and intelligent automation systems, then keep reading. As a key member of the AI Operations team, you will have a mandate to take part in all stages of the AI product development life cycle, from ideation and prototyping through to production deployment. 

 What You'll Be Doing:

  • Design, implement, and deploy new AI features, LLM-driven modules, and intelligent product and process 
  • Maintain and improve existing AI-powered systems and internal automation pipelines, and support internal stakeholder requests 
  • Help research and evaluate new models, frameworks, and GPU infrastructure providers (such as OpenRouter, RunPod, and other cloud GPU platforms) for integration into our AI stack 

What you'll need to be successful:

Must Haves:

  • College or bachelor's degree in computing science or related field 
  • Strong proficiency in Python (3+ years) with hands-on experience building production-grade systems/software 
  • 3 to 5 years of experience in software development with a focus on AI/ML pipelines, LLM integration, or generative AI applications 
  • Solid understanding of Large Language Models (LLMs) - including prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and agentic workflows 
  • Hands-on experience working with LLM API providers and model routing platforms such as OpenRouter, OpenAI, Anthropic, or equivalent 
  • Familiarity with GPU GPU-as-a-service providers/platforms 
  • Good working knowledge of REST API design, async Python, and Linux/Bash scripting 
  • A solid understanding of container technologies and modern containerbased build practices 
  • Understanding of computational and data complexity, scalability, security 
  • Good knowledge of applicable design patterns, algorithms 
  • Ability to architect, build and own efficient applications and components. 

Nice To Haves:

  • Experience with Gitlab CICD pipelines 
  • Experience with vector databases and embedding pipelines 
  • Familiarity with ML orchestration and workflow tools 
  • Broad knowledge of many of the following: cloud infrastructure, model monitoring, system observability, and MLOps practices 
  • Experience in deploying production systems to AWS using IaC 

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees

In this role you may be exposed to adult content

Apply