Algorithm Engineer, AI

Comm100; Vancouver; On-site; CAD 80,000 - 120,000; Full time

Benefits offered by this job

Health & Dental Benefits

RRSP Matching Program

Health & Wellness Fund

New office with gym

Training and Development Fund

Quarterly team-building events

Job summary

A leading digital customer engagement platform is seeking an Algorithm Engineer to enhance AI capabilities in Vancouver. The role involves developing generative AI features, optimizing algorithms, and engaging with stakeholders. Candidates should have a Bachelor's in a relevant field and 2+ years of experience in AI/ML, along with strong proficiency in Python and frameworks like TensorFlow or PyTorch. The position offers a salary range of $80,000 - $120,000 CAD and benefits including health care and wellness funds.

Qualifications

• 2+ years of experience in AI/ML engineering, focusing on generative AI technologies.
• Strong analytical and problem-solving skills with an interest in advancing AI.
• Excellent communication skills for teamwork.

Responsibilities

• Engage in key tasks like AI Assistant data construction and model deployment.
• Develop robust AI features using generative AI frameworks.
• Propose technical solutions and address product issues.

Skills

Python

TensorFlow

PyTorch

Deep Learning

Reinforcement Learning

Unsupervised Learning

Data Preprocessing

Feature Engineering

Education

Bachelor's degree in Computer Science, Mathematics, or related field

Tools

Pandas

sklearn

transformers

LoRA

DPO

vLLM

DeepSpeed

TensorRT

Job description

Algorithm Engineer, AI

Who We Are

Comm100 is an award-winning digital customer engagement platform, enabling organizations to better engage, convert and support their customers online. Established in 2009, Comm100 serves over 10,000 clients globally including HP, Rackspace, Government of Canada, Google, Stanford University, and many more. We believe that our work is never done as long as there are customers in a queue. We don’t sleep until we find the smartest, most efficient way to communicate, answer questions, and solve problems.

What We Believe

At Comm100, we strongly believe that the success of a company depends entirely on its people. We seek self‑motivated team players who will appreciate a performance‑driven work environment, rooted in creativity, personal development, integrity and open communication. We work hard but always make time for fun.

What We Offer

• Health & Dental Benefits
• RRSP Matching Program
• Health & Wellness Fund
• New office with full gym, massage chairs, and bike storage
• Training and Development Fund
• Quarterly team‑building events

About the Role

Job Responsibilities

• Research key capabilities leading to AGI, track the latest academic and industry research achievements in LLM, and bring new technical ideas and methods to the business.
• Leverage generative AI Agentic frameworks (e.g., Llama‑Index, AutoGen, Semantic Kernel, Langchain), workflow frameworks (e.g., Langgraph), and trace logging (eg. Langsmith, wandb, phoenix) to develop robust AI features.
• Deeply engage in key tasks such as AI Assistant data construction, LLM pre‑training, fine‑tuning, algorithm optimization, and model deployment.
• Research key technologies for the implementation of LLM such as RAG and Agent, explore a new generation AI Assistant architecture based on LLM, and continuously enhance AI Assistant question‑answering effectiveness and user experience.
• Writing clean, high‑quality, high‑performance, maintainable, and thoroughly tested code to ensure Algorithm reliability and maintainability.
• Work closely with cross‑regional engineering teams to facilitate communication and collaboration.
• Engage in direct communication with customers and business stakeholders to propose technical solutions and address product issues.

Job Requirements

• Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related field with a focus on Artificial Intelligence, Machine Learning or software engineering.
• 2+ years of experience in AI/ML engineering, with a strong focus on generative AI technologies, prompt engineering, vector databases and GenAI operationalizing
• Proficiency in Python, TensorFlow or PyTorch, Knowledge of advanced machine learning techniques, such as deep learning, reinforcement learning, and unsupervised learning.
• Experience with data preprocessing (Pandas), feature engineering (datasets, PyTorch), model training (sklearn, transformers, LoRA, DPO), model deploying (vLLM, DeepSpeed, TensorRT).
• Strong analytical and problem‑solving skills with a keen interest in pushing the boundaries of AI and machine learning.
• Excellent communication skills and the ability to work effectively in a team environment.

Salary

$80,000 - 120,000 CAD per year

Location

This position is a fully on‑site role in our downtown Vancouver office.

Applicants must be eligible to work in Canada.