Jobs in Canada

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Added 2 months ago
V
Technical Support Engineer
VGS
Canada
- Full-time
…vault and credential management platform directly into their stack, taming the complexity of payment data so they can move…
Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
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 3 months ago
SJ
Software Engineer, Applied AI
St. Joseph Communications
Toronto, ON
- $110,000 to $130,000 CAD / year
5+ years of software engineering, applied AI, full-stack developing experience, with a track record of shipping production systems end-to-end.
Added 5 months ago
CM
Senior Systems Engineer
CanCap Management Inc.
Mississauga, ON
- $110,000 to $150,000 CAD / year
- Full-time
CanCap Group delivers fully managed programs for third-party financial institutions. We are hiring a Senior Systems Engineer to design, automate, and operate the core infrastructure our…
Added 2 months ago
FV
Senior Software Engineer
Forum Ventures
ON
- Full-time
This is a full-time role based in Ottawa, ON, operating on a hybrid schedule (4 days per week in-office)
Added 2 months ago
BS
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
- Full-time
Work with the ML lead and full-stack engineer to expose the layer as clean, reusable services.
Added 2 months ago
Senior Application Engineer, Support
Teifi Digital
Vancouver, BC
3–6 years in backend or full stack development, or a production-facing engineering role
Added 2 months ago
R
Senior Software Quality Engineer
Relay
Remote, Canada
- Full-time
- Remote
Our stack: React, Nodejs, AWS Infrastructure (Queues, S3, DynamoDB etc.) , PSQL, Redis, Playwright, Detox, GitHub Actions, Ministack/Localstack, Wiremock, Bruno, Sentry, Datadog, Cursor,…
Added 2 months ago
T
Senior Agentic Engineer
TribalScale
Toronto, ON
- Full-time
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.
Added 2 months ago
S
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
You have 3+ years (6-10 years for Senior levels) of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in…
Added 2 months ago
SD
Director of Product - Montreal
Small Door Veterinary
Remote, Canada
- $130,000 to $150,000 CAD / year
- Full-time
- Remote
This role can be based in New York City or Montreal
Added 2 months ago
D
Senior Product Engineer II - Frontend
Docebo
Remote, Canada
- $123,400 to $164,500 CAD / year
- Full-time
- Remote
As the Senior Product Engineer II, you bring expert-level proficiency in frontend engineering, building complex, high-quality product experiences with Angular and TypeScript. You own…
Added 2 months ago
D
Senior Product Engineer II - Fullstack
Docebo
Remote, Canada
- $123,400 to $164,500 CAD / year
- Full-time
- Remote
As the Senior Product Engineer II, you bring expert-level proficiency across backend and frontend development with the ability to design, build, and evolve complete features from data and…
Added 2 months ago
CO
Staff Android Engineer
Capital One
Toronto, ON
- Full-time
Improve software engineering practices – work within agile teams to design, develop, test, implement and support technical solutions across a full stack of development tools and technologies
Added 4 months ago
FD
Senior Software Engineer (Laravel/PHP, Node.js, React)
Frontier Dental CA
Markham, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are looking for a Senior Software Engineer to own the technical direction of our web platform and lead a small development team of 2–4 engineers. This is a hands-on leadership role where…
Added 2 months ago
CO
Staff Software Engineer - iOS
Capital One
Toronto, ON
- Full-time
Improve software engineering practices – work within agile teams to design, develop, test, implement and support technical solutions across a full stack of development tools and technologies
Added 2 months ago
W
Senior Software Development Engineer (Agent Factory)
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 2 months ago
PN
Senior Full-Stack Developer
Projekt Network
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
Eligibility: Must have existing legal authorization to work in Canada
Added 2 months ago
RE
Senior Software Engineer- Generalist (Apex Legends)
Respawn Entertainment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
As a Senior Software Engineer, you will drive the development of foundational technologies and work to improve the performance and stability of Apex Legends. You will work closely with…
Added 2 months ago
R
Senior Software Engineer (Voyager)
Relay
Remote, Canada
- Full-time
- Remote
…reinvent banking, and we’re looking for a curious, impact-driven Senior Software Engineer (Voyager) to join our growing team – someone who thrives on taking smart risks, experimenting…
Added 2 months ago
V
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
- Full-time
As a Lead Full-Stack GenAI Engineer, you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 2 months ago
L
Senior Full-stack Engineer
Limbic
Remote, Canada
- Full-time
- Remote
We're seeking a Senior Full-stack Engineer who's motivated by seeing their work change outcomes for real people. You'll ship features end-to-end that patients and clinicians depend on every…
Added 2 months ago
Staff Engineer (Product)
Later
Vancouver, BC
We’re looking for a Staff Engineer to play a critical role in shaping the future of Later’s technology stack. This is a senior-level role for a highly skilled engineer who thrives in…
Added 3 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 2 months ago
II
Lead Analytics Engineer
Innodata Inc.
Canada
- $130,000 to $150,000 CAD / year
- Contract
We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader.…

Artefact

Senior Forward Deployed Engineer (Gemini Enterprise)

Montreal, QC, Canada

Apply on job-boards.greenhouse.io About employer

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Job details

Posting language: English
Posted: Sep 1, 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

You will design and build end-to-end AI products, including agentic systems, RAG pipelines, and user-facing interfaces. You will work embedded with clients to deploy production-grade AI solutions while maintaining high standards for reliability and performance.

Requirements

Candidates must have 3-5 years of experience in software or data engineering with extensive hands-on use of LLMs and the Google AI stack. A bachelor's or master's degree in a relevant field is required, along with strong proficiency in Python and TypeScript.

Skills

Gemini Enterprise
Vertex AI
Python
TypeScript
React
RAG
Agentic systems
Data engineering
Cloud infrastructure
GCP
API development
Machine learning
Software engineering
Prompt engineering
CI/CD
Vector search

Benefits

Professional development support
Certification sponsorship
Global team collaboration

Visa sponsorship

Not detected in the job text

Keywords

Gemini Enterprise
Vertex AI
Google Cloud Platform
Python
TypeScript
React
RAG
Agentic AI
BigQuery
Data Engineering
Machine Learning
LLM
API
Terraform
CI/CD
Vector Databases
Software Engineering
Consulting
Artificial Intelligence
Cloud Infrastructure
Prompt Engineering
LangGraph
LangChain
MCP
Observability
Containerization
Serverless
Data Pipelines
Governance
Auditability

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Jobs in Canada