AI Engineer
- Vancouver, BC, Canada
$80,000 to $120,000 CAD / year · Full-time
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Job details
- Pay
- $80,000 to $120,000 CAD / year
- Job type
- Full-time
- Apply by
- Experience
- 1+ years of experience in AI/ML engineering, with a strong focus on generative AI technologies, prompt engineering, vector databases and GenAI operationalizing
- Posting language
- English
- Posted
Original job description
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
Job Responsibilities:
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.
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
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.
- 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.
- 1+ years of experience in AI/ML engineering, with a strong focus on generative AI technologies, prompt engineering, vector databases and GenAI operationalizing
- Understanding of LLM application development concepts 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.
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.
More about this job
Responsibilities
The role involves researching AGI capabilities and developing robust AI features using generative AI agentic and workflow frameworks. Key tasks include LLM pre-training, fine-tuning, and optimizing AI Assistant architectures to enhance user experience.
Requirements
Candidates need a Bachelor's degree in Computer Science or a related field and at least one year of experience in AI/ML engineering. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is required.
Skills
- Generative AI
- Prompt Engineering
- RAG
- Python
- TensorFlow
- PyTorch
- Vector Databases
- LLM Fine-tuning
- Llama-Index
- Langchain
- Deep Learning
- Reinforcement Learning
- Model Deployment
- Data Preprocessing
- Agentic Frameworks
- Algorithm Optimization
Benefits
- Health & Dental Benefits
- RRSP Matching Program
- Health & Wellness Fund
- Gym
- Massage Chairs
- Bike Storage
- Training And Development Fund
- Quarterly Team-building Events
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Data & Analytics
- Science & Research
Keywords
- AI Engineer
- LLM
- AGI
- Llama-Index
- AutoGen
- Semantic Kernel
- Langchain
- Langgraph
- Langsmith
- Wandb
- Phoenix
- RAG
- Embeddings
- Vector Databases
- Tool Calling
- Python
- TensorFlow
- PyTorch
- Pandas
- Sklearn
- Transformers
- LoRA
- DPO
- vLLM
- DeepSpeed
- TensorRT
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Software Engineering