ML Engineer – Generative AI & LLMs

Ample Insight Inc.; Toronto; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Ample Insight Inc. is seeking Machine Learning Engineers to design, prototype, and productize scalable ML solutions using LLMs and real-world data. You will work closely with clients and teammates to deliver production-ready systems that impact business outcomes.

The role emphasizes rapid prototyping, strong Python ML skills, and the ability to translate research into robust services within a fast-paced consulting environment.

Qualifications

• Expertise in LLM engineering and familiarity with providers and best practices.
• Experience with agentic systems (tool use, memory, planning, multi-agent coordination).
• Strong track record of turning prototypes into production services.

Responsibilities

• Design, prototype, and productize scalable ML solutions for clients.
• Collaborate with clients and teammates to deliver end-to-end ML systems.
• Prototype cutting-edge tools and research ideas and move them to production.

Skills

LLM engineering

Production-ready prototyping

Data-driven decision making

Python ML stack

Git & Docker

SQL & Bash

FastAPI

Multi-agent coordination

Education

Bachelor's degree or higher

Tools

Pandas

Numpy

scikit-learn

XGBoost

PyTorch

Git

Docker

SQL

Bash

FastAPI

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.

• 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.

We have competitive compensation. We believe in accountability and NOT micro-management. 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. Originally posted on Himalayas.