Senior AI Engineer

Comm100; Vancouver; On-site; CAD 100,000 - 150,000; Full time

Benefits offered by this job

Health & Dental Benefits

RRSP Matching Program

Health & Wellness Fund

New office with gym, massage chairs, &

Training and Development Fund

Quarterly team-building events

Job summary

Comm100 is seeking a Sr. AI Engineer to advance our AI-powered customer engagement platform in downtown Vancouver. You will research AGI capabilities, implement AI features with agent frameworks, and participate in data construction, pre-training, fine-tuning, and deployment of LLMs.

Collaboration with cross-functional teams is essential to deliver scalable AI solutions. Require 3+ years in AI/ML, strong Python, and experience with PyTorch/TensorFlow, vector databases, and GenAI operations.

Qualifications

• Bachelor's degree or higher in CS/Math/Stats/AI or related field.

Responsibilities

• Research capabilities for AGI-related advancements and track LLM research trends.
• Develop AI features using AI agent frameworks and workflow tools.
• Engage in data construction, LLM pre-training, fine-tuning, and deployment tasks.
• Explore RAG/Agent architectures and novel AI assistant designs for better QA.

Skills

Generative AI

Prompt engineering

LLM deployment

Vector databases

AI research

Python

Education

Bachelor's degree or above in CS/Math/Stats/AI related

Tools

Python

TensorFlow

PyTorch

Pandas

transformers

LoRA

DPO

vLLM

DeepSpeed

TensorRT

Job description

Sr. AI Engineer

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, prompt engineering, 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.
• 3+ years of experience in AI/ML engineering, with a strong focus on generative AI technologies, prompt engineering, vector databases and GenAI operationalizing
• Strong understanding of LLM application development, including prompt engineering, RAG, embeddings, vector databases, structured output, tool/function calling, and agent architectures.
• 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: $100,000- 150,000 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.