ML Engineer – Generative AI & LLMs (Remote)

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🌍 Remote📍 ON📍 Toronto📍 Toronto, ON, Canada📍 caContract

About this role

Company Description

You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities. 

Job Description

We’re looking for Machine Learning Engineers who are passionate about building cutting-edge systems with LLMs and real-world data. In this role, you’ll work closely with clients and teammates to design, prototype, and productize scalable machine learning solutions.

You’ll be part of a collaborative, high-performing team that values clear thinking, pragmatic execution, and continuous learning. If you thrive in fast-paced environments, enjoy tackling open-ended problems, and care deeply about the quality and impact of your work, we’d love to connect.

Qualifications

  • Must have: Expertise in LLM engineering, including familiarity with popular LLM providers and their best practices. Experience building or working with agentic systems (e.g. tool use, memory, planning, multi-agent coordination) is a strong plus. Show us your LLM projects and detail your ownership and contributions.
  • Strong ability to rapidly prototype cutting-edge tools and research ideas, with a track record of turning prototypes into production-ready services.
  • Hands-on experience with statistics and machine learning. Comfortable working with the Python ML stack: Pandas, Numpy, scikit-learn, XGBoost, PyTorch, etc. Proficient with development tools such as Git, Docker, SQL, Bash, and FastAPI.
  • Strong analytical mindset and business acumen; able to think critically about data and its impact on product or business outcomes.
  • Bachelor's degree or higher (e.g., MS or PhD) in Computer Science or a related engineering field involving coding.
  • Bonus: Familiarity with AWS or Azure, GitHub Actions, Spark, Neo4j Cypher, and graph databases.

Additional Information

We have competitive compensation.

We believe in accountability and NOT micro-management.

Frequently Asked Questions

Is the salary disclosed for the ML Engineer – Generative AI & LLMs (Remote) position at ampleinsightinc?
The salary for this ML Engineer – Generative AI & LLMs (Remote) role at ampleinsightinc is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the ML Engineer – Generative AI & LLMs (Remote) job at ampleinsightinc remote?
Yes, this ML Engineer – Generative AI & LLMs (Remote) position at ampleinsightinc is remote, with team members based in ON, Toronto, Toronto, ON, Canada, ca. You can work from home or anywhere in the supported regions.
Is the ML Engineer – Generative AI & LLMs (Remote) role at ampleinsightinc full-time or part-time?
This is listed as a Contract position. It is posted as a ML Engineer – Generative AI & LLMs (Remote) role at ampleinsightinc.
How do I apply for the ML Engineer – Generative AI & LLMs (Remote) position at ampleinsightinc?
Click the "Apply Now" button on this page. You will be redirected to ampleinsightinc's official application portal hosted on smartrecruiters where you can submit your application directly.
When was the ML Engineer – Generative AI & LLMs (Remote) job at ampleinsightinc posted?
This ML Engineer – Generative AI & LLMs (Remote) position at ampleinsightinc was posted on Feb 12, 2026. Apply as soon as possible — early applications are often reviewed first.
ML Engineer – Generative AI & LLMs (Remote)
ampleinsightinc
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