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
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Health & Dental Benefits
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RRSP Matching Program
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Health & Wellness Fund
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New office with full gym, massage chairs, and bike storage
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Training and Development Fund
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Quarterly team-building events
About the Role
Job Responsibilities:
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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.
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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.
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Deeply engage in key tasks such as AI Assistant data construction, LLM pre-training, fine-tuning, algorithm optimization, and model deployment.
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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.
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Writing clean, high-quality, high-performance, maintainable, and thoroughly tested code to ensure Algorithm reliability and maintainability.
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Work closely with cross-regional engineering teams to facilitate communication and collaboration.
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Engage in direct communication with customers and business stakeholders to propose technical solutions and address product issues.
Job Requirements:
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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.
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2+ years of experience in AI/ML engineering, with a strong focus on generative AI technologies, prompt engineering, vector databases and GenAI operationalizing
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Proficiency in Python, TensorFlow or PyTorch, Knowledge of advanced machine learning techniques, such as deep learning, reinforcement learning, and unsupervised learning.
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Experience with data preprocessing (Pandas), feature engineering (datasets, PyTorch), model training (sklearn, transformers, LoRA, DPO), model deploying (vLLM, DeepSpeed, TensorRT).
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Strong analytical and problem-solving skills with a keen interest in pushing the boundaries of AI and machine learning.
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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.
We sincerely thank all applicants for their interest; however, only shortlisted candidates will be contacted. Applicants must be eligible to work in Canada.
