Algorithm Engineer, AI

Comm100; Vancouver; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading digital customer engagement platform in Vancouver is seeking an Algorithm Engineer in AI to research and develop cutting-edge AI capabilities. The role requires strong proficiency in Python and experience in generative AI technologies. Applicants should have a degree in a relevant field and at least 2 years of experience in AI/ML engineering. This position is fully on-site and offers various health and wellness benefits.

Benefits

Health & Dental Benefits

RRSP Matching Program

Health & Wellness Fund

New office with full gym

Training and Development Fund

Qualifications

• 2+ years of experience in AI/ML engineering.
• Strong focus on generative AI technologies and prompt engineering.
• Knowledge of advanced machine learning techniques.

Responsibilities

• Research key capabilities leading to AGI.
• Engage in AI Assistant data construction and LLM pre-training.
• Develop robust AI features using generative AI frameworks.

Skills

Proficiency in Python

Generative AI technologies

Strong analytical and problem-solving skills

Excellent communication skills

Education

Bachelor’s degree or above in Computer Science, Mathematics, Statistics

Tools

TensorFlow

PyTorch

Pandas

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.

Location: This position is a fully on-site role.

We sincerely thank all applicants for their interest; however, only shortlisted candidates will be contacted. Applicants must be eligible to work in Canada.