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Intern Llm Engineer Intern Jobs in Quebec (NOW HIRING)

Xsolla

AI-First Engineering Intern

Montreal, QC · On-site

CA$20 - CA$25/hr

We're offering AI Engineer Internships in regions across the globe to help drive that shift ... Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely ...

Groupe DCM

Under the guidance of experienced team members, the intern contributes to daily production ... engineering drawings, procedures, and established specifications. * Assist in interpreting ...

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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.

AI-First Engineering Intern

Xsolla

Montreal, QC • On-site

CA$20 - CA$25/hr

Internship

Re-posted 15 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.

Why This Role Exists

Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building.

You'll work on two things:

  1. Internal AI initiatives - helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone.

  2. Proof-of-concept builds on our own APIs - showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought.

This isn't a shadow-and-observe internship. You'll ship code that goes to customers - internal teams or external players and game developers - working closely with senior engineers and fellow interns across our global regions.

Who You'll Work With

You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week.

What You'll Do

  • Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix.

  • Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development.

  • Ship work that matters. What you build is expected to reach real users - whether that's an internal tool an engineering team adopts or a customer-facing integration - not a throwaway exercise that gets shelved after your internship ends.

  • Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working - not a novelty you reach for occasionally.

  • Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week - you'll be expected to bring something real.

  • Work with minimal process. You'll get context, a problem, and a mentor - the rest is on you to figure out and build.

  • Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos.

What We're Looking For

You build things because you want to, and that you already use AI to do it faster.

  • Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen.

  • Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something - not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked - not someone who fires off a prompt and hopes for the best.

  • Bias toward action. Given an ambiguous problem, you start building before you ask for a spec.

  • Comfort with developing modern full-stack solutions - we care more about how fast you learn than what you already know cold.

  • Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program. If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you.

How to Apply

Please include:

  1. A link to a GitHub profile, deployed project, or anything else you've built - the more recent and self-directed, the better.

  2. A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: "What's something hard you built recently, and why did you build it?"

We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter).

$20 - $25 an hour
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 AI-First Engineering Intern, 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
 
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].
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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