ML Engineer – Generative AI & LLMs (Remote)
Read straight from Ample Insight Inc.'s careers page, verified 7h ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationToronto, ON, ca
Work moderemote · Canada
Typecontract
Company size8+ people
PostedOct 30, 2026 · 1w ago
Verified live7h ago
May no longer be actively hiring
63% of this company's open roles have been listed for 90+ days
Reposted once in the last 6 monthsEarliest listing first seen Oct 12, 2026
How we check a job is still liveAt a glanceSummarised by Seekless from the posting.
Expertise in LLM engineering, including familiarity with popular LLM providers and their best practices
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
Experience building or working with agentic systems (e.g. tool use, memory, planning, multi-agent coordination) is a strong plus
Familiarity with AWS or Azure, GitHub Actions, Spark, Neo4j Cypher, and graph databases
Skills
Git
Docker
SQL
Bash
FastAPI
Python
Pandas
Numpy
scikit-learn
XGBoost
PyTorch
AWS
Azure
GitHub Actions
Spark
Neo4j Cypher
LLM
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
Benefits
We have competitive compensation.
We believe in accountability and NOT micro-management.