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Intern Llm Engineer Intern Jobs in Quebec (NOW HIRING)

SAP

SAP iXp Intern - AI Engineer

Montreal, QC

SAP iXp Intern - AI Engineer Location: Montreal, QC Expected start date to end date: September 2026 ... LLM-based pipelines, RAGs, tool/agent integrations, and evaluation environments. * Implement ...

Alstom

Electrical Engineering Intern

Saint-bruno, QC · On-site

Could you be the full-time Electrical Engineering Intern in St. Bruno, Quebec we're looking for? Your future role Take on a new challenge and apply your technical and analytical expertise in a ...

AlayaCare

Intern - Developer

Montreal, QC

About the Role As a Developer Intern, you'll work closely with experienced developers and product team members to contribute to real product features. Throughout your internship, you'll contribute to ...

ABB

Production Manager Reporting to the Production Engineer, the Documentation & Methods Intern supports production activities by executing and coordinating all required preparation tasks before and ...

Groupe DCM

... intern will support the programmers. Responsibilities * Develop or update programs for 3-, 4-, and 5-axis CNC milling machines and lathes using Catia V5 software. * Produce and manage setup ...

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Intern Llm Engineer Intern information

What does an LLM Engineer Intern do?

An LLM (Large Language Model) Engineer Intern assists in developing, fine-tuning, and evaluating artificial intelligence models focused on natural language processing. Their responsibilities typically include data preprocessing, model training, conducting experiments, and analyzing model outputs. Interns may also help improve model performance, collaborate with research scientists, and contribute to building tools that make AI models more efficient and user-friendly. This role is ideal for those interested in machine learning, software engineering, and AI research.

What are some typical projects or tasks an LLM Engineer Intern might work on during their internship?

As an LLM Engineer Intern, you can expect to work on a range of tasks such as fine-tuning large language models, developing data pipelines for training or evaluation, and creating tools to analyze model outputs. Interns often assist with dataset curation, running experiments to improve model performance, and collaborating with senior engineers and researchers to solve real-world NLP problems. The work environment is usually collaborative, involving regular meetings and code reviews, providing valuable mentorship and hands-on experience with state-of-the-art AI technologies.

What are the key skills and qualifications needed to thrive as an LLM Engineer Intern, and why are they important?

To thrive as an LLM Engineer Intern, you need a solid background in computer science, programming (especially Python), and understanding of machine learning concepts, often demonstrated through coursework or relevant projects. Familiarity with frameworks like PyTorch or TensorFlow, version control systems like Git, and experience with large language models such as GPT are highly valuable. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with cross-functional teams will help you stand out. These skills ensure you can contribute meaningfully to model development, troubleshoot issues efficiently, and adapt quickly in a rapidly evolving AI field.

What is the difference between Intern Llm Engineer Intern vs Data Science Intern?

AspectIntern Llm Engineer InternData Science Intern
Required CredentialsRelevant computer science or AI coursework, basic understanding of machine learning and NLPStatistics, mathematics, or data analysis coursework, programming skills
Work EnvironmentAI research labs, tech companies focusing on NLP and language modelsData analysis teams, tech companies, research institutions
Employer & Industry UsageAI and machine learning companies, tech giants developing language modelsTech firms, finance, healthcare, and research sectors

Intern Llm Engineer Interns focus on developing and optimizing large language models, requiring knowledge of NLP and AI frameworks. Data Science Interns analyze data, build models, and generate insights. While both roles involve programming and data skills, the Intern Llm Engineer Intern role emphasizes AI model development, whereas Data Science Interns focus on data analysis and interpretation.

What job categories do people searching Intern Llm Engineer Intern jobs in Quebec look for?

The top searched job categories for Intern Llm Engineer Intern jobs in Quebec are:

What cities in Quebec are hiring for Intern Llm Engineer Intern jobs?

Cities in Quebec with the most Intern Llm Engineer Intern job openings:

Intern Llm Engineer Intern jobs near you
Infographic showing various Intern Llm Engineer Intern job openings in Quebec as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

SAP iXp Intern - AI Engineer

SAP SuccessFactors

Montreal, QC

Internship

Posted 9 days ago

Job description

We help the world run better


At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 

What you'll build

The SAP Internship Experience Program is SAP's global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. This is more than an internship, it's the foundation for a career built on connection, creativity, and impact.

Position title: SAP iXp Intern - AI Engineer

Location: Montreal, QC

Expected start date to end date: September 2026 - August 2027

Work Hours: 24 hours per week

  • Prototype and implement AI components: LLM-based pipelines, RAGs, tool/agent integrations, and evaluation environments.
  • Implement backend services and APIs to expose AI capabilities (FastAPI/Flask or similar).
  • Develop and maintain CI/CD and MLOps pipelines to move PoCs to replicable deployments (Jenkins, GitHub Actions, etc.).
  • Containerize and deploy components using Docker and Kubernetes (or equivalents for local development).
  • Assist in designing, running, and analyzing automated tests and evaluation metrics for model quality, hallucinations, latency, and cost.
  • Collaborate with data engineers to build and maintain recovery indices, embedding pipelines, and feature stores.
  • Participate in design work, sprint reviews, and cross-functional demonstrations with product, QA, and UX.
  • Contribute to documentation, reproducible experiments, and internal enablement materials.

What You'll bring

We're looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

  • Master's student in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
  • Strong Python programming skills; familiarity with JavaScript/TypeScript is a plus.
  • Experience or coursework with ML/Deep Learning fundamentals and at least basic exposure to LLMs/transformer models.
  • Familiarity with REST APIs and backend frameworks (FastAPI, Flask, Django).
  • Experience with Git/GitHub and collaborative software development workflows.
  • Basic knowledge of containers (Docker) and comfortable with Linux and cloud services.
  • Interest in deploying ML systems, best practices in software engineering, and collaborative agile teamwork.
  • Excellent communication skills in English and French (at least B2 level in both languages).
 
Optional (these are extras)
 
  • Hands-on experience with Hugging Face, OpenAI, or other LLM platforms; experience in prompt engineering and evaluation.
  • Familiarity with RAG approaches, vector databases (e.g., ChromaDB, Pinecone, Milvus, or FAISS), and embedding models.
  • Exposure to MLOps/LLMOps tools (MLflow, BentoML), observability, and cost-conscious deployment.
  • Experience with agentic frameworks (LangChain, LangGraph) or multi-tool orchestration.
  • Knowledge of data engineering, Kubernetes, and cloud platforms.
Where you belong

Be part of SAP Next Gen, a global community for students, universities, schools and educational partners, who are passionate about innovation and technology.

  1. Culture of Collaboration: Partner with experienced SAP colleagues and expert mentors who will support your growth. Grow professionally through personalized mentoring, coaching, and career development support.
  2. Project-driven Experience: Kickstart your career with hands-on learning experience, making an impact from day one by contributing to meaningful projects that help the world run better. You'll have endless learning resources at your fingertips and gain future-ready skills from a variety of virtual, in-person, and hybrid learning sessions, cultivated just for you, and aligned with our learning approach.
  3. Gain Visibility: Build relationships with leaders and peers across teams and functions. Showcase your ideas, skills, and creativity in a global, fast-paced environment. Open doors for future career opportunities within SAP and beyond.

Our team is part of the SAP Data & Analytics organization, whose mission is to help businesses transform data into actionable insights, enabling them to make smart decisions, improve operations, and drive growth. Based in Paris and working closely with various SAP development teams worldwide (Walldorf, Vancouver, Dublin, Shanghai, Bangalore, and others), our team focuses on creating analytical and operational queries from data within SAP business line applications. We manage all phases of software development, from design and implementation to operational support, quality assurance, and deployment. 

Follow @LifeatSAP on Instagram and don't miss anything about our experiences worldwide!

#LifeAtSAP #SAPNextGen

Bring out your best


SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.  
We win with inclusion


SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the hourly base salary rate range applicable for the posted role. The targeted range for this position is 18.00 - 36.00. The actual amount to be offered to the successful candidates will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. SAP offers limited benefits for employees hired into hourly or like roles subject to appliable plan/policy terms. A summary of benefits and eligibility requirements can be found by clicking this link:  www.SAPNorthAmericaBenefits.com.
Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 458022  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Full Time   | Additional Locations:  #LI-Hybrid

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About SAP

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Industry

It services and computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Newtown Square, PA, US

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