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Assistant Branch Manager Trainee
TD
Brampton, ON
- Full-time
Proficiency in productivity tools and software tools including MS Office, and internet application.
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Staff Engineer, Atlas Agent Engine
MongoDB
Toronto, ON · ON · QC
Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
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Lab Patient Technician - Part Time Regular (Float) - Toronto, ON
LifeLabs
Toronto, ON
- Part-time
Employee Group Benefits: Competitive coverage for employees and their families to support their overall health and wellness needs, including Extended Health Care, Dental Care, and Life…
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Data Protection Specialist (IT) - Hybrid
The Globe and Mail
Toronto, ON
…work-life balance, we offer flexible work arrangements and support programs. We also invest in our employees' growth through training and mentorship opportunities, enabling you to expand…
Added 8 mins ago
Data Protection Specialist (IT)
The Globe and Mail
Toronto, ON
…work-life balance, we offer flexible work arrangements and support programs. We also invest in our employees' growth through training and mentorship opportunities, enabling you to expand…
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Senior Project Enablement Lead
McKesson
Mississauga, ON
- Full-time
Connect HR Services stakeholders with Technology, product and automation partners to support AI-enabled improvements, implementation planning and adoption.
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Financial Services Consultant- Insurance
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in…
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MG
Financial Controller
M Group of Companies
ON · Barrie, Ontario
- Full-time
…financial processes, and driving operational efficiency to support the organization's continued growth and…
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NP
SCADA Engineer
Northland Power Inc.
Toronto, ON
- Full-time
Support turn-over of new facilities from construction. This will include participating in some of the testing and commissioning activities for SCADA/HMI, historian, and telemetry systems in…
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UO
Research Coordinator
University of Alberta
Edmonton, AB
- Full-time
The purpose of this position is to provide support to research support in the Department of Psychiatry, ranging from in-house investigator research to industry-sponsored research. Under the…
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Shipper Receiver
Xylem
Mississauga, ON
- Full-time
Professional Development – To advance the capabilities of our people, we offer a wide variety of experiences to support our employees’ professional growth and continuous learning.
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Senior Consultant, Procurement Transformation
KPMG
Montreal, QC
- Full-time
…skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…
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Route Trainee - UniFirst Canada
UniFirst
AB
- Full-time
· Support Daily Operations: Assist our service team by loading and unloading route trucks, ensuring each day begins with accuracy and efficiency.
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Route Service Supervisor - UniFirst Canada
UniFirst
Sussex, NB
- Full-time
Provide route coverage during Route Service Representative absences (e.g., illness or vacation), offering hands-on support while assessing performance and customer satisfaction and loyalty.
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Financial Services Representative (English and French speaking)
CIBC
Mississauga, ON
- Full-time
…employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition…
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VH
Home Support Worker- Scarborough
VHA Home HealthCare
Toronto, ON · Soudan Office
- Full-time
VHA's Home Support Worker is responsible for providing practical household assistance, socialization, and emotional support to diverse client groups, including adults and children, to…
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UO
Experienced Structural Analysis Engineer
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Full-time
…solutions into broader program goals, while providing technical support for field operations. Additionally, the engineer will assist in the development of project plans and documentation,…
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UO
Nondestructive Evaluation Engineer
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Full-time
Participate in laboratory, manufacturing, and in-service inspections utilizing the various NDT techniques to support technical evaluations and problem resolutions, with oversight.
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Plant Layout Engineer/ Specialist
UP Vertical Farms
BC · British Columbia, Canada
- Full-time
…exciting opportunity to shape manufacturing environments that support operational excellence and sustainable…
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Sales Associate
Canadian Forces Morale and Welfare Services
Bushell Park, SK
- Part-time
…services, access to retail savings and discounts and offers family support and organizes charity…
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Human Resources Business Partner
NWI Precision
Toronto, ON · North York, ON
- $90,000 to $110,000 CAD / year
- Full-time
…employee handbook, Workday, manager development, and consistent application of organizational standards. The HRBP takes ownership of driving change from planning through implementation,…
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TC
Python Developer - TechDocs & Document Migration
Tata Consultancy Services
Toronto, ON
- $80,000 to $100,000 CAD / year
- Full-time
Work closely with application and engineering teams to inventory, assess, and migrate developer documentation assets.
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Guidewire PolicyCenter Technical Lead
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Toronto, ON
- Contract
Design, implement, and support Guidewire Cloud-based solutions.
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Co-op Java Developer - Winter 2027
Global Relay
Vancouver, BC
- Full-time
This is a Java Developer Co-op position within Global Relay’s software development team.
Added 23 mins ago
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Manufacturing Automation Manager/Team Leader
Ciena
Ottawa, ON · Quebec, QC
- $146,600 to $234,200 CAD / year
- Full-time
Expérience avérée dans l’application des principes de conception pour X (DFx) afin de soutenir la fabrication de masse

Celebal Technologies

Generative AI Engineer

Canada

Full-time

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Job details

Job type: Full-time
Experience: 1–3 years of hands-on experience in Machine Learning, AI, Data Science, or Generative AI development.
Posting language: English
Posted: Nov 3, 2026

Original job description

Overview

We are seeking a motivated Generative AI Engineer with 1–3 years of experience in Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have strong programming skills in Python, a solid understanding of ML/AI fundamentals, and hands-on experience building GenAI applications using LLMs, Retrieval-Augmented Generation (RAG), and AI agent frameworks.

The candidate will work closely with senior engineers, data scientists, and cross-functional teams to design, develop, test, and deploy scalable GenAI solutions for real-world business problems. This role offers an opportunity to work on emerging technologies, including Agentic AI, multi-agent systems, LangGraph, and open-source LLMs.

Duties and Responsibilities

Develop and implement Generative AI applications using LLMs and modern AI frameworks.
Build and maintain RAG pipelines using document processing, embeddings, vector databases, and semantic search.
Implement AI agents and workflow orchestration using frameworks such as LangChain and LangGraph.
Work with LLM APIs, including OpenAI APIs and cloud-based AI services.
Explore and integrate open-source models such as Llama, Mistral, and other Hugging Face models.
Perform prompt engineering and optimize prompts to improve response quality, accuracy, and consistency.
Assist in fine-tuning, evaluating, and optimizing LLMs for specific business use cases.
Develop Python scripts and APIs to integrate GenAI solutions with existing applications and enterprise systems.
Implement basic evaluation frameworks to assess LLM responses, RAG retrieval quality, relevance, and hallucination.
Optimize application performance by reducing response latency, token consumption, and computational costs.
Deploy and support GenAI applications on cloud platforms such as Microsoft Azure or AWS.
Follow software development best practices, including version control, testing, debugging, and code documentation.
Collaborate with senior engineers and business teams to understand requirements and translate them into AI-powered solutions.
Stay updated with advancements in Generative AI, LLMs, Agentic AI, and emerging AI frameworks.

Requirements

B.Tech/M.Tech in Computer Science, Information Technology, Artificial Intelligence, or a related field.
1–3 years of hands-on experience in Machine Learning, AI, Data Science, or Generative AI development.
Strong programming skills in Python and familiarity with libraries such as Pandas, NumPy, and Scikit-learn.
Basic to intermediate understanding of Machine Learning, Deep Learning, NLP, and neural network architectures.
Hands-on experience with LLMs, Generative AI applications, and prompt engineering.
Practical knowledge of RAG architecture, embeddings, semantic search, and vector databases.
Familiarity with frameworks such as LangChain, LangGraph, or Hugging Face Transformers.
Experience integrating LLMs through OpenAI APIs or other commercial/open-source model APIs.
Familiarity with vector databases or search technologies such as FAISS, Chroma, Pinecone, or Azure AI Search.
Basic understanding of REST APIs, FastAPI or Flask, and application integration.
Familiarity with Git, Docker, and software development practices is preferred.
Exposure to cloud platforms such as Microsoft Azure or AWS is an advantage.
Strong problem-solving skills, willingness to learn, and the ability to work collaboratively in a team.

Good to Have

Exposure to Agentic AI workflows, tool calling, and multi-agent systems.
Basic hands-on experience with LangGraph for stateful AI workflows.
Familiarity with open-source LLMs such as Llama, Mistral, and similar models.
Understanding of LLM evaluation, guardrails, hallucination mitigation, and responsible AI practices.
Exposure to model fine-tuning, quantization, or inference optimization.
Familiarity with MLflow or other tools for experiment tracking and model management.

Key Skills

Core: Python, Machine Learning, Generative AI, LLMs, NLP

GenAI: RAG, Prompt Engineering, Embeddings, Vector Databases, LLM Evaluation

Frameworks: LangChain, LangGraph, Hugging Face, OpenAI APIs

Deployment: FastAPI, REST APIs, Git, Docker, Azure/AWS

What We Are Looking For

A proactive and curious engineer who enjoys solving real-world problems using Generative AI, can build practical AI applications, and is eager to grow their expertise in Agentic AI, multi-agent orchestration, and scalable enterprise AI solutions.

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More about this job

Responsibilities

Develop, integrate, and deploy Generative AI applications using LLMs, RAG pipelines, AI agents, and frameworks such as LangChain and LangGraph. Evaluate and optimize model quality, application performance, and costs while collaborating with engineering and business teams to deliver scalable solutions.

Requirements

Requires a relevant bachelor's or master's degree and 1–3 years of hands-on experience in machine learning, AI, data science, or Generative AI development. Candidates should have strong Python skills, practical experience with LLMs, prompt engineering, RAG, embeddings, and vector databases, plus familiarity with AI frameworks, APIs, and software development practices.

Skills

Python
Machine Learning
Generative AI
Large Language Models
Natural Language Processing
Retrieval-Augmented Generation
Prompt Engineering
Embeddings
Vector Databases
LLM Evaluation
LangChain
LangGraph
Hugging Face Transformers
OpenAI APIs
FastAPI
Docker

Visa sponsorship

Not detected in the job text

Keywords

Python
Machine Learning
Deep Learning
Generative AI
Large Language Models
Natural Language Processing
Retrieval-Augmented Generation
Prompt Engineering
Embeddings
Semantic Search
Vector Databases
LangChain
LangGraph
Hugging Face Transformers
OpenAI APIs
Llama
Mistral
FAISS
Chroma
Pinecone
Azure AI Search
FastAPI
Flask
REST APIs
Git
Docker
Microsoft Azure
AWS
Agentic AI
Multi-Agent Systems

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