ML Engineer – Generative AI & LLMs (Remote)

Company DescriptionYou 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 DescriptionWe’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.QualificationsMust 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 InformationWe have competitive compensation.We believe in accountability and NOT micro-management.

You will design, prototype, and productize scalable machine learning solutions. You’ll work closely with clients and teammates in a collaborative environment.

Expertise in LLM engineering and experience with agentic systems are essential. A strong analytical mindset and hands-on experience with the Python ML stack are also required.

• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Generative AI
• LLMs
• Prototyping
• Python
• Statistics
• Data Analysis
• Git
• Docker
• SQL
• Bash
• FastAPI
• AWS
• Azure
• Spark
• Graph Databases

• Technology
• Data & Analytics
• Consulting
• Engineering

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week