... LLM APIs, or orchestration frameworks. * Hands-on experience in solution design and development, including Python, REST APIs, system integration, RAG, prompt engineering, testing, version control ...
... LLM APIs, or orchestration frameworks. * Hands-on experience in solution design and development, including Python, REST APIs, system integration, RAG, prompt engineering, testing, version control ...
Senior Applied AI Engineer
Montreal, QC · On-site +1
Hands-on experience with agent frameworks, vector databases, model fine-tuning, and LLM observability and evaluation tooling * Expert in Python (mandatory) and strong in JavaScript/TypeScript ...
Senior Applied AI Engineer
Montreal, QC · On-site +1
Hands-on experience with agent frameworks, vector databases, model fine-tuning, and LLM observability and evaluation tooling * Expert in Python (mandatory) and strong in JavaScript/TypeScript ...
AI Platform Engineer
Montreal, QC · Hybrid
You'll build everything from multi-provider LLM orchestration and hybrid memory systems to real ... Deep, production-level experience in Python (3.11+), building microservices with frameworks like ...
Quick apply
AI Platform Engineer
Montreal, QC · Hybrid
You'll build everything from multi-provider LLM orchestration and hybrid memory systems to real ... Deep, production-level experience in Python (3.11+), building microservices with frameworks like ...
Full Stack AI Engineer / Applied AI Engineer
CA$50K - CA$70K/yr
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 ...
Full Stack AI Engineer / Applied AI Engineer
CA$50K - CA$70K/yr
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 ...
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 ...
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 ...
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.
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.
... with Python. * Experience building or integrating AI agents, orchestration layers, or agentic frameworks. * Solid understanding of large language model (LLM)-based systems and their operational ...
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... with Python. * Experience building or integrating AI agents, orchestration layers, or agentic frameworks. * Solid understanding of large language model (LLM)-based systems and their operational ...
... with Python. * Experience building or integrating AI agents, orchestration layers, or agentic frameworks. * Solid understanding of large language model (LLM)-based systems and their operational ...
... with Python. * Experience building or integrating AI agents, orchestration layers, or agentic frameworks. * Solid understanding of large language model (LLM)-based systems and their operational ...
Senior, AI & Data Science
Montreal, QC · On-site
Build evaluation suites for LLM systems: benchmarks, LLM-as-judge patterns, and regression tests ... Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL. * Hands-on ...
Senior, AI & Data Science
Montreal, QC · On-site
Build evaluation suites for LLM systems: benchmarks, LLM-as-judge patterns, and regression tests ... Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL. * Hands-on ...
Software Engineer - AI/ML & LLM - Remote
Montreal, QC · Remote
$80 - $120/hr
Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging complex software issues
Quick apply
Software Engineer - AI/ML & LLM - Remote
Montreal, QC · Remote
$80 - $120/hr
Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging complex software issues
Build evaluation suites for LLM systems: benchmarks, LLM-as-judge patterns, and regression tests ... Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL. * Hands-on ...
Build evaluation suites for LLM systems: benchmarks, LLM-as-judge patterns, and regression tests ... Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL. * Hands-on ...
Build evaluation suites for LLM systems: benchmarks, LLM-as-judge patterns, and regression tests ... Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL. * Hands-on ...
Build evaluation suites for LLM systems: benchmarks, LLM-as-judge patterns, and regression tests ... Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL. * Hands-on ...
Python and/or TypeScript, distributed systems, APIs, real time or near real time. Hands-on experience with LLM-based or agent-based systems: orchestration, tool calling, RAG, evals, and handling ...
Quick apply
Python and/or TypeScript, distributed systems, APIs, real time or near real time. Hands-on experience with LLM-based or agent-based systems: orchestration, tool calling, RAG, evals, and handling ...
Integrate with third-party AI and media services, including LLM providers, voice services (STT/TTS ... Python). * Experience building, versioning, and maintaining production REST APIs consumed by ...
Integrate with third-party AI and media services, including LLM providers, voice services (STT/TTS ... Python). * Experience building, versioning, and maintaining production REST APIs consumed by ...
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 ...
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 ...
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 ...
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 ...
Data Scientist
Montreal, QC · Hybrid
CA$80K - CA$90K/yr
... LLM models, prompt engineering, testing and performance evaluation. * Strong data science and statistical analytics skills. * Strong in problem-solving with innovative mindset * Strong Python ...
Data Scientist
Montreal, QC · Hybrid
CA$80K - CA$90K/yr
... LLM models, prompt engineering, testing and performance evaluation. * Strong data science and statistical analytics skills. * Strong in problem-solving with innovative mindset * Strong Python ...
Excellentes competences en Python et C++. * Experience avec les principaux frameworks IA/AA (TensorFlow, PyTorch, ONNX ou equivalents) * Connaissance des LLM, de l'IA generative, de la vision par ...
Excellentes competences en Python et C++. * Experience avec les principaux frameworks IA/AA (TensorFlow, PyTorch, ONNX ou equivalents) * Connaissance des LLM, de l'IA generative, de la vision par ...
Excellentes compétences en Python et C++. * Expérience avec les principaux frameworks IA/AA (TensorFlow, PyTorch, ONNX ou équivalents) * Connaissance des LLM, de l'IA générative, de la vision ...
Excellentes compétences en Python et C++. * Expérience avec les principaux frameworks IA/AA (TensorFlow, PyTorch, ONNX ou équivalents) * Connaissance des LLM, de l'IA générative, de la vision ...
AI Evaluation Engineer (QA)
Montreal, QC · On-site
Maitrise de Python et des techniques de science des donnees pour mesurer l'ancrage factuel et la qualite des reponses. * Experience avec les cadres d'evaluation de LLM et l'analyse statistique.
AI Evaluation Engineer (QA)
Montreal, QC · On-site
Maitrise de Python et des techniques de science des donnees pour mesurer l'ancrage factuel et la qualite des reponses. * Experience avec les cadres d'evaluation de LLM et l'analyse statistique.
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:
Full-time
Re-posted 5 days ago
Key responsibilities
Design, develop, and deploy AI agents, business copilots, and intelligent automation solutions from prototype through to production.
Configure and develop solutions using Copilot Studio, Power Platform, Azure AI, Azure OpenAI, ChatGPT Enterprise, Claude, Perplexity, APIs, Python, connectors, and cloud services.
Integrate agents and copilots with enterprise applications, data sources, APIs, collaboration platforms, document management systems, CRM, ERP, and cloud environments.
Job description
At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.
We are looking for a Senior Consultant – Agentic AI and Copilot Development, who will act as a consultant, solution designer, and hands-on technical contributor to support our clients in the design, integration, and deployment of AI agents, business copilots, and intelligent automation solutions.
The successful candidate will bring together consulting experience, a strong understanding of business challenges, and practical expertise in generative and agentic AI platforms, including Microsoft Copilot Studio, Azure AI, ChatGPT, Claude, Perplexity, LLM APIs, orchestration frameworks, RAG, and enterprise integrations.
What you will do
- Design, develop, and deploy AI agents, business copilots, and intelligent automation solutions, from prototype through to production.
- Translate clients’ business needs into concrete, prioritized, and measurable use cases, taking into account expected value, existing processes, available data, and user adoption.
- Facilitate functional and technical workshops to gather requirements, define user journeys, identify integration constraints, and document design decisions.
- Work hands-on in configuring and developing solutions using Copilot Studio, Power Platform, Azure AI, Azure OpenAI, ChatGPT Enterprise, Claude, Perplexity, APIs, Python, connectors, and cloud services.
- Design pragmatic agentic architectures including specialized agents, task orchestration, human-in-the-loop workflows, knowledge bases, RAG, tool calling, connectors, guardrails, and escalation mechanisms.
- Integrate agents and copilots with enterprise applications, data sources, APIs, collaboration platforms, document management systems, CRM, ERP, and cloud environments.
- Collaborate with architects, developers, business analysts, data experts, security, risk, and compliance teams to deliver robust, secure, and client-adapted solutions.
- Produce high-quality consulting deliverables: solution designs, functional and technical documentation, implementation plans, backlogs, test scenarios, user guides, and evolution recommendations.
- Contribute to the development of KPMG assets related to agentic AI: demos, accelerators, solution patterns, delivery approaches, estimates, and client presentation materials.
- Remain hands-on and pragmatic: resolve blockers, test solutions, refine prompts and workflows, challenge technical decisions, and ensure delivered solutions create tangible business value.
- Participate in advisory and business development activities: opportunity qualification, proposal preparation, effort estimation, and delivery of demonstrations or prototypes.
What you bring to the role
- At least 3 years of experience in consulting, technology delivery, solution development, application integration, intelligent automation, or digital transformation.
- Experience in a consulting firm or client-facing professional services environment, with a demonstrated ability to understand client needs and deliver in demanding contexts.
- 2 to 3 years of hands-on experience with generative AI solutions, AI agents, copilots, conversational AI, intelligent automation, or related platforms.
- Practical proficiency with at least part of the Microsoft ecosystem, including Copilot Studio, Microsoft 365 Copilot, Azure AI, Azure OpenAI, Power Platform, Dataverse, Teams, SharePoint, Graph, or Microsoft connectors.
- Experience with generative AI platforms and tools beyond Microsoft, such as ChatGPT Enterprise, Claude, Perplexity, LangChain, LangGraph, LlamaIndex, CrewAI, vector databases, LLM APIs, or orchestration frameworks.
- Hands-on experience in solution design and development, including Python, REST APIs, system integration, RAG, prompt engineering, testing, version control, documentation, and deployment.
- Strong understanding of security, permissions, data governance, privacy, compliance, monitoring, and lifecycle management of AI solutions in an enterprise context.
- Ability to work with both business and technical stakeholders, simplify complex AI concepts, and translate functional needs into concrete solutions.
- Experience in agile or iterative delivery, including backlog management, client demonstrations, user testing, prioritization, and continuous improvement.
- Excellent written and verbal communication skills in both French and English, with the ability to produce clear documentation, actionable recommendations, and high-quality consulting-level presentations.
This position requires written and oral fluency in English because it involves interpretation and application of English standards, guidance, laws and regulations, servicing of English-speaking clients located across Canada and collaboration with English Speaking colleagues located outside of Quebec.
Providing you with the support you need to be at your best
Our Values, The KPMG Way
Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters
KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.
Adjustments and accommodations throughout the recruitment process
At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.
AI Usage
Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.
We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.
Qualifications:- At least 3 years of experience in consulting, technology delivery, solution development, application integration, intelligent automation, or digital transformation.
- Experience in a consulting firm or client-facing professional services environment, with a demonstrated ability to understand client needs and deliver in demanding contexts.
- 2 to 3 years of hands-on experience with generative AI solutions, AI agents, copilots, conversational AI, intelligent automation, or related platforms.
- Practical proficiency with at least part of the Microsoft ecosystem, including Copilot Studio, Microsoft 365 Copilot, Azure AI, Azure OpenAI, Power Platform, Dataverse, Teams, SharePoint, Graph, or Microsoft connectors.
- Experience with generative AI platforms and tools beyond Microsoft, such as ChatGPT Enterprise, Claude, Perplexity, LangChain, LangGraph, LlamaIndex, CrewAI, vector databases, LLM APIs, or orchestration frameworks.
- Hands-on experience in solution design and development, including Python, REST APIs, system integration, RAG, prompt engineering, testing, version control, documentation, and deployment.
- Strong understanding of security, permissions, data governance, privacy, compliance, monitoring, and lifecycle management of AI solutions in an enterprise context.
- Ability to work with both business and technical stakeholders, simplify complex AI concepts, and translate functional needs into concrete solutions.
- Experience in agile or iterative delivery, including backlog management, client demonstrations, user testing, prioritization, and continuous improvement.
- Excellent written and verbal communication skills in both French and English, with the ability to produce clear documentation, actionable recommendations, and high-quality consulting-level presentations.
This position requires written and oral fluency in English because it involves interpretation and application of English standards, guidance, laws and regulations, servicing of English-speaking clients located across Canada and collaboration with English Speaking colleagues located outside of Quebec.
Providing you with the support you need to be at your best
Education:UNAVAILABLEEmployment Type: FULL_TIME