Jobs in Canada

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Added 15 hours ago
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Software Engineer- Entry Level
PheedLoop / NordSpace
Toronto, ON
- Full-time
Familiar with a backend development framework- Python/Django is a big plus. Working knowledge of a frontend framework- React preferred.
Added 15 hours ago
EE
Senior Software Engineer
Edgecom Energy
Toronto, ON
- Full-time
4+ years of experience engineering and reviewing backend systems built in Golang and Python.
Added 15 hours ago
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Staff Software Engineer, Essentials (Calgary)
Syndio
Calgary, AB
- $180,000 to $200,000 CAD / year
This role is for the engineer who makes that computation fast, scalable, and trustworthy. You'll work on the workflows that move large datasets through ingestion, validation, modeling, and…
Added 15 hours ago
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Staff Software Engineer (Calgary)
Syndio
Calgary, AB
- $180,000 to $200,000 CAD / year
Staff-level engineer. A high-output individual contributor who raises the output of everyone around you.
Added 15 hours ago
ZT
Senior Software Engineer
ZoomInfo Technologies LLC
Toronto, ON
- Full-time
As a Senior Software Engineer, you will design, build, and operate software that solves complex business problems through thoughtful use of data, AI, and experimentation. You will turn…
Added 15 hours ago
ZT
Senior Data Engineer
ZoomInfo Technologies LLC
Toronto, ON
- Full-time
The Data Engineer III is a core builder on the Strategic Partnerships team's data platform. They design and ship ETL pipelines, semantic models, and the supporting infrastructure that…
Added 15 hours ago
LJ
Senior Forward Deployed Engineer (Gemini Enterprise)
LinkedIn Job Wrapping
Montréal, QC · Québec, QC
- Full-time
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 15 hours ago
LJ
Senior, AI & Data Science
LinkedIn Job Wrapping
Montréal, QC · Québec, QC
- Full-time
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 15 hours ago
LJ
AI & Agentic Engineer, Senior
LinkedIn Job Wrapping
Montréal, QC · Québec, QC
- Full-time
Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.
Added 15 hours ago
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Software Developer I (Full Time) - Canada
Cisco
Ottawa, ON · Kanata, ON
- Full-time
- Hybrid
Proficiency in at least one of the following programming or scripting languages: C/C++, Python, or Java, with evidence of recent (within the 12 months) coursework, projects, or work…
Added 15 hours ago
Senior Research Engineer (Worlds)
Electronic Arts
Vancouver, BC
We are looking for a Senior Research Engineer to join our Worlds research pillar and help redefine game world authoring technologies. We sit at the intersection of traditional artistry and…
Added 15 hours ago
SerDes Analog Design & Correlation, Principal Engineer - 18617
Synopsys
Mississauga, ON
Programming experience in TCL, Perl, C, Python, and MATLAB for design automation, modeling, and data analysis.
Added 15 hours ago
Silicon Validation/Characterization Engineer - 18757
Synopsys
Nepean, ON
You are comfortable in the lab with an oscilloscope in one hand and a Python script in the other, moving between electrical measurements and data analysis without losing sight of what you…
Added 15 hours ago
AN
Python Developer
Astra North Infoteck Inc.
Toronto, ON
- Contract
Must have 3-4 years working experience as a software developer
Added 15 hours ago
AN
Azure Data Engineer
Astra North Infoteck Inc.
Toronto, ON
- Contract
We are seeking an experienced L4 Engineer with strong
Added 15 hours ago
AN
QA Automation Engineer – Robot Framework, Python
Astra North Infoteck Inc.
Toronto, ON
- Full-time
Robot Framework (UI Automation) Python scripting, SQL DB queries (medium to complex), GitHub Actions (CICD), q-Test, JIRA Confluence, QE Soft Skills - collaboration, critical thinking,…
Added 15 hours ago
AN
GCP Data Engineer
Astra North Infoteck Inc.
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP), distributed data processing, and cloud-native data architectures.
Added 15 hours ago
Cloud Data Platform Engineer (JavaScript/NodeJS developers with AWS and Azure)
Astra North Infoteck Inc.
Toronto, ON
Added 15 hours ago
Azure Platform Engineer Networking, vWire, Azure DevOps, Bicep/Pulumi, Python
Astra North Infoteck Inc.
Toronto, ON
Develop automation scripts and tools using Python, Node.js, Java, or PowerShell.
Added 15 hours ago
Azure Platform Engineer, Networking, Azure DevOps, Terraform
Astra North Infoteck Inc.
Toronto, ON
Develop automation scripts and tools using Python, Node.js, Java, or PowerShell.
Added 15 hours ago
Gen AI Developer
Astra North Infoteck Inc.
Toronto, ON
Proficiency in Python, including writing reusable, efficient, and testable code, with exposure to Generative AI tools.
Added 15 hours ago
Azure Platform Engineer
Astra North Infoteck Inc.
Toronto, ON
Develop automation scripts and tools using Python, Node.js, Java, or PowerShell.
Added 15 hours ago
AWS Serverless, Containers and CDK Engineer
Astra North Infoteck Inc.
Toronto, ON
Provide L2 L3 support for AWS infrastructure built using AWS CDK (Type Script Python)
Added 15 hours ago
Azure Cloud Platform Engineer - IaC, Azure DevOps, Terraform
Astra North Infoteck Inc.
Toronto, ON
Develop automation scripts and tools using Python, Node.js, Java, or PowerShell.
Added 15 hours ago
L2/L3 AWS Cloud Infrastructure Support Engineer (CDK, IaC)
Astra North Infoteck Inc.
Toronto, ON
Provide L2 L3 support for AWS infrastructure built using AWS CDK (Type Script Python)

LinkedIn Job Wrapping

Senior Forward Deployed Engineer (Gemini Enterprise)

Montréal, QC, Canada
Québec, QC, Canada

Full-time

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Aug 14, 2026

Original job description

About Artefact

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.

We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise - we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions.

As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption.

The Role

Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production.

You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works.

This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle - full-stack development, data engineering, cloud infrastructure, evaluation, and client communication.

You will work closely with our clients, with direct exposure from the start, and you will support the professional development of the engineers around you.

What You'll Do

Build Full-Stack AI Applications, End to End

You will build AI products across the entire stack, from interface to infrastructure.

Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node.
Implement agentic behavior: orchestration, tool and function calling, memory, and guardrails.
Build retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid search.
Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP.

Go Deep on Gemini Enterprise and the Google AI Stack

You will be the team's reference for Google's enterprise AI platform.

Design and build agents with Gemini models, Vertex AI, the Agent Development Kit (ADK), and Agent Engine.
Implement and configure Gemini Enterprise for clients: Agent Designer for natural-language and trigger-based agents, the Inbox for managing long-running agents at scale, and agent sandboxes for autonomous problem-solving.
Connect Gemini Enterprise to the client's application landscape through first-party and partner connectors, with proper permissions, governance, and auditability.
Build grounded, retrieval-backed applications with Vertex AI Search and RAG Engine, grounding with Google Search, and BigQuery as the data backbone.
Implement agent interoperability through the A2A protocol and MCP.
Track Google's releases closely and translate new capabilities into client value quickly.

Make AI Systems Production-Grade

Our standard is production quality: systems that are reliable, monitored, and maintainable.

Write evaluation suites and regression tests for LLM-powered features, and monitor cost, latency, and quality in production.
Apply solid engineering practice: version control, code review, automated testing, CI/CD, and observability.
Deploy on cloud infrastructure (GCP, Azure, or AWS) using containers, serverless, and infrastructure-as-code.
Build and maintain the data pipelines that feed AI systems, across warehouses, lakehouses, and vector stores.

Work AI-Natively and Client-Facing

Our engineers work AI-natively and represent Artefact directly with clients.

Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment about verification and review.
Communicate progress, trade-offs, and blockers clearly to clients and project leads.
Support pre-sales when needed: scope solutions, build demos, and estimate effort with our partnership and consulting teams.
Mentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards.

What We're Looking For

Required Experience

3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
Strong hands-on experience with the Google AI stack: Gemini models, Vertex AI, and ideally Gemini Enterprise or ADK - ideally with experience taking at least one solution to production on GCP.
Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
Experience with front-end development (React or similar) and at least one backend framework.
Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Google ADK, LangGraph/LangChain).
Strong working experience with GCP; Azure or AWS is a plus.
Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
Experience building and maintaining data pipelines.
Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications

A Google Cloud certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement - Artefact sponsors the exam and gives you time to prepare.

Google Cloud Professional Machine Learning Engineer (preferred), covering Vertex AI, generative AI, and production ML.
Google Cloud Generative AI Leader is valued as a foundation, complemented by hands-on Vertex AI / Gemini Enterprise delivery experience.

Preferred Experience

Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
Experience with Terraform or CI/CD pipelines.
Experience with GCP, BigQuery, or Google Workspace integrations alongside Gemini Enterprise.

Key Capabilities

A strong candidate will bring:

Deep expertise in Gemini Enterprise and the Google AI stack, combined with breadth across the full stack
Owns features end to end, from interface to infrastructure
Cares about evaluation and reliability, not just the happy path
Communicates clearly with clients in demos, documents, and code review
Client-facing mindset: understands client needs and translates business requirements into technical solutions
Learns new tools and models fast, and shares what works

Why Join Artefact

At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.

You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.

We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.

Our values aren't decorations on a wall - they're how we actually work:

There is always a way - We're builders and problem-solvers. An idea only counts if it gets executed.
Client trust is won in the field - We show up, sleeves rolled up, working side by side with our clients.
If it's not used, it's useless - We build for adoption and impact, not for slide decks.
If it's not shared, we're not done - Knowledge shared compounds. We invest in each other's growth.
We learn every day - In a field that moves this fast, standing still means falling behind. We embrace the challenge.

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

The Senior Deployed AI Engineer at Artefact will build AI applications end to end, from front-end interfaces to backend services, data pipelines and deployment. They will design agents on Google's enterprise AI platform, connect them to client systems, and make the systems reliable and monitored in production.

Requirements

Candidates need 3 to 5 years of software or data engineering experience, strong Python and TypeScript skills, and hands-on work with Gemini, Vertex AI and RAG. Artefact also expects fluency with agentic coding tools and GCP experience, and a Google Cloud certification (or commitment to obtain one within two months).

Skills

Gemini Enterprise
Gemini models
Vertex AI
Agent Engine
Agent Designer
Vertex AI Search
RAG Engine
Google Search grounding
BigQuery
Google Cloud Platform (GCP)
Python
TypeScript
JavaScript
React
Node.js
REST APIs
RAG
embeddings
vector search
hybrid search
LangGraph
LangChain
Model Context Protocol (MCP)
A2A protocol

Keywords

Gemini Enterprise
Gemini
Vertex AI
Google ADK
Agent Development Kit
Agent Engine
Vertex AI Search
RAG Engine
BigQuery
GCP
Google Cloud
Python
TypeScript
React
RAG
embeddings
vector search
LangGraph
LangChain
MCP

Seniority

Senior

Licences and certifications

Google Cloud Professional Machine Learning Engineer
Google Cloud Generative AI Leader

Tools

Gemini Enterprise
Vertex AI
Google ADK
BigQuery
LangGraph
LangChain
Terraform
Claude Code
Gemini CLI
Cursor

Languages

English

Fields of study

computer science
engineering

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Jobs in Canada