ML Engineer - Generative AI & LLMs (Remote)

Job Description

<h3>Job Description</h3><p>Job Description<p>Company Description<br><br><p><em>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. </em></p>Job Description<br><br><p>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.</p><p>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.</p>Qualifications<br><br><ul><li><strong>Must have</strong>: 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.</li><li>Strong ability to rapidly prototype cutting-edge tools and research ideas, with a track record of turning prototypes into production-ready services.</li><li>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.</li><li>Strong analytical mindset and business acumen; able to think critically about data and its impact on product or business outcomes.</li><li>Bachelor&#39;s degree or higher (e.g., MS or PhD) in Computer Science or a related engineering field involving coding.</li><li><strong>Bonus</strong>: Familiarity with AWS or Azure, GitHub Actions, Spark, Neo4j Cypher, and graph databases.</li></ul><br><br>Additional Information<br><br><p>We have competitive compensation.</p><p>We believe in accountability and NOT micro-management.</p></p></p>