Jobs in Canada

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Added 3 months ago
R
Risk Strategist
Relay
Remote, Canada
- Full-time
- Remote
You’re proficient in SQL (joins, aggregations, window functions, subqueries) and can write efficient queries with minimal supervision
Added 6 months ago
Ingénieur en Données Géospatiales / Geospatial Data Engineer
Shearwater
Montreal, QC
Strong Python development with scientific computing stack (NumPy, Pandas, SciPy)
Added 5 months ago
MI
Data Analyst
Magna International
Edmonton, AB
- £40,000 to £50,000 GBP / year
- Full-time
Experience with programming languages such as Python or R.
Added 4 months ago
AL
Forward Deployed AI Engineer
Arkanis Labs
Remote, Canada
- $120,000 to $200,000 CAD / year
- Full-time
- Remote
Working experience with our common stack: TypeScript and/or Python, Postgres, cloud platforms (AWS/GCP), vector databases.
Added 4 months ago
S
Production Support Analyst - Capital Markets
Synechron
Toronto, Ontario
- $100,000 to $110,000 CAD / year
- Full-time
…more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a…
Added 4 months ago
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Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 USD / year
- Full-time
Strong programming skills in SQL, Python, or related languages.
Added 4 months ago
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Technical Lead - Actuarial Systems
PartnerRe
Toronto, Ontario
- $110,000 to $150,000 CAD / year
- Full-time
PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after…
Added 3 months ago
U
Senior AI Data Developer
Ubisoft
Montreal, QC
- Full-time
Ability to use various tools and programming languages (e.g., Python, SQL, Bash) to integrate systems.
Added 3 months ago
BA
Senior Analyst, Application Integration
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Proven expertise in ETL/ELT, data integration concepts with exposure to Python, Streamlit, REST API, SQL, XML, JSON, CSV.
Added 3 months ago
AG
Real Estate Valuation Consultant
Altus Group
Toronto, ON
- Full-time
Must have strong Excel proficiency and the ability to complete complex Excel tasks and experience with VBA (knowledge of the following is a plus: R or Python Statistical Programming,…
Added 3 months ago
Business Intelligence Analyst
Metergy Solutions
Toronto, ON
High proficiency in data modelling and analysis with demonstrated acumen using the following tools Excel, PowerBI (Power Query) & SQL
Added 2 months ago
Solutions Architect
Databricks
Toronto, ON
As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services.…
Added 3 months ago
R
Senior Data Engineer
Relay
Remote, Canada
- Full-time
- Remote
Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money - bringing clarity, confidence, and control to every dollar earned, so…
Added 1 month ago
M
Senior AI Full Stack Developer (Healthcare - SaaS)
Medfar
Montreal, QC
- Full-time
As a Full Stack Developer, you will be part of the AI Platform team, whose goal is to build and evolve the key features that support real-world healthcare workflows. This team works closely…
Added 1 month ago
Lead Developer, Embedded Engineering
Geotab
Oakville, ON · Waterloo, ON
Proficient in one or more scripting languages (Python, Bash) and test frameworks (Pytest, Robot Framework) with experience in SQL.
Added 2 months ago
Senior Manager Data Platforms
OpenTable
Toronto, ON
With millions of diners, 70,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping…
Added 1 month ago
D
Data Engineer
Dexian
Toronto, ON · Greater Toronto Area, Canada
- Contract
This is a transformation-focused opportunity for a Senior Power BI Developer who enjoys solving complex data problems, creating impactful visualizations, and working closely with business…
Added 1 month ago
KG
Traffic Engineering Lead
KGS Group
Winnipeg, MB
- Full-time
Computer programming experience would be an asset (Python, SQL, etc.)
Added 3 months ago
T
Support Engineer
Ture
Toronto, ON
- Full-time
Familiarity with SQL or a comparable querying language.
Added 1 month ago
S
Software Development Intern (Winter 2027)
SweetTech
Montreal, QC
- Internship
You will contribute to the software our clients use, with projects sized to your experience and guidance from the engineering team. Your work may include building an interface, extending an…
Added 1 month ago
S
Software Development Intern (Fall 2026)
SweetTech
Montreal, QC
- Internship
You will contribute to the software our clients use, with projects sized to your experience and guidance from the engineering team. Your work may include building an interface, extending an…
Added 2 months ago
S
Senior Full-Stack Engineer
SweetTech
Montreal, QC
- Full-time
On the backend, you will build and maintain Python/FastAPI services with clean, well-documented APIs, model data with Pydantic and PostgreSQL-compatible SQL, and use Redis for caching and…
Added 1 month ago
S
Junior Software Engineer, Bug Resolution
SweetTech
Montreal, QC
- Full-time
Familiarity with Python or JavaScript/TypeScript, web APIs, Git, and basic SQL. You are willing to learn across the frontend and backend.
Added 1 month ago
M
GTM Analytics Manager
Marqeta
Remote, Canada
- Full-time
- Remote
Experience with Python or R for analytics and automation
Added 2 months ago
VR
Forward Deployed Engineer
VSG Recruitment
Remote, Canada
- Full-time
- Remote
Experience with TypeScript and/or Python, React, SQL, APIs, integrations, and modern software architectures.

Arkanis Labs

Forward Deployed AI Engineer

Remote, Canada

Remote

$120,000 to $200,000 CAD / year · Full-time

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Job details

Pay: $120,000 to $200,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: Experience: 3+ years
Posting language: English
Posted: Jun 10, 2026

Original job description

Forward Deployed AI Engineer Intermediate · Full-time Location: Kitchener-Waterloo, ON (in-office up to 3 days/week) Experience: 3+ years Eligibility: Authorized to work in Canada About Arkanis We're a production AI systems shop. Growth-stage companies bring us in when they have a real engineering problem and not enough senior bandwidth to solve it well: data infrastructure that's buckling, an LLM feature that breaks the moment real users touch it, a matching engine that needs to actually work. We embed with their teams, ship the system, and harden it for the long haul. Our work spans LLM agents, data pipelines, and applied ML across a rotating set of clients. Who You'll Work With Neither founder came up the standard way. Both started in the hard sciences and taught themselves computer science and machine learning from there. They worked with the first generation of transformer models, shipped some of the earliest commercial LLM applications running inside Fortune 500 companies, led engineering teams at unicorn AI startups, and put research into production at world-class labs including Microsoft Research and DARPA. None of it came with an Ivy League stamp or a FAANG badge. We earned it by shipping, and that's the only resume line we actually read, and the only thing we test for. No leetcode theater in our interviews, just real systems and whether you can build and reason about them. The Role Forward deployed means you're embedded. You'll sit inside a client's team as the engineer who takes an ambiguous business problem and turns it into a working, maintainable production system. You'll move between engagements as projects ship, so you'll see more codebases, stacks, and founding teams in a year than most engineers see in five. You're also the technical face of Arkanis in those rooms, which means the quality of your work and your judgment both matter. This role is based in Kitchener-Waterloo. You'll work from our Kitchener office up to three days a week, with the rest remote, plus time on client sites during active engagements. We're around to pair on hard problems and back you up however you need it. This is a role we expect to grow someone into: with strong fundamentals and real curiosity about applied AI, we'll teach you the production ML and agent engineering on the job, with senior ICs to learn from. What You'll Work On No one person does all of this. Think of it as the range our engagements pull from, the kind of work you'll get to lean into and grow across over time: Setting up the testing backbone that turns 'move fast and break things' into 'move fast and keep them working.' Building the testing and CI that let us ship AI features fast and sleep at night. Designing thoughtful evals and benchmarks, model guardrails, experiment design, observability, and A/B tests, so we actually know whether a feature is working. Prompt tuning and shaping model behavior until the results are reliable. Improving stability and performance across the stack for our clients. Bringing product sense and UI/UX instincts to how a feature feels to use and whether it solves the real problem in front of the user. Turning a fuzzy business problem into a scoped plan you can ship against, and being honest with founders about what's possible, what isn't, and what's worth doing now versus later. Documenting and handing off cleanly, so the client's team can own the system after you rotate to the next engagement. Who You Are We're looking for builders with staying power. The people who thrive here have gone deep on something hard by their own drive, stuck with it long past the point most people quit, and come out with real command of their craft. Where you learned it and how long it took matters far less to us than the fact that you did, and that you'd keep building whether or not anyone was paying you. 3+ years shipping software. You've built things real people used, debugged them in production, and lived with the consequences of your own design decisions. Solid engineering fundamentals. You write code others can maintain, you're comfortable across the stack, you reach for version control, tests, and SQL without being told, and you can reason about a system you've never seen before. A working understanding of what LLMs can and can't do. You know when a problem wants a model and when it wants fifteen lines of deterministic code. You've felt the failure modes firsthand and you're hungry to go deeper on evals, guardrails and design. Opinions about your tools. You have a coding setup you've thought about and can defend, and you're the kind of person who tries the new thing and forms a real take on it. Strong communication. You can sit across from a non-technical founder and make the case for security and stability work in terms they care about, manage expectations honestly, and hold your own in a room with VCs and senior engineers. Comfort with ambiguity and client-facing work. Engagements rarely arrive as clean specs. You're energized by walking into a half-defined problem and a team you've just met. Nice to Have Working experience with our common stack: TypeScript and/or Python, Postgres, cloud platforms (AWS/GCP), vector databases. Exposure to regulated or compliance-heavy environments is a real plus: GDPR, PIPEDA, SOC 2, PCI-DSS, or hands-on PII handling. Several of our engagements touch sensitive data, and knowing how to build for it from the start is valuable. Any prior exposure to applied ML, computer vision, or LLM observability tooling. Startup or agency experience where you wore several hats at once. Why This Role You'll get embedded at well-funded growth-stage companies and earn real facetime with the founders, investors, and senior engineers running them. You'll be deliberately trained up in production ML and AI engineering rather than left to figure it out alone. And the variety is the point: you'll work across very different companies and problems, building range and depth far faster than any single team could give you.

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More about this job

Responsibilities

You will be embedded within a client's team to transform ambiguous business problems into maintainable production systems. Your role involves moving between engagements, ensuring the quality of your work and judgment as the technical face of Arkanis.

Requirements

Candidates should have 3+ years of experience in shipping software and solid engineering fundamentals. A working understanding of LLMs and strong communication skills are also essential.

Skills

Software Development
Machine Learning
Data Infrastructure
Testing
Continuous Integration
Model Evaluation
Prompt Tuning
UI/UX Design
Communication
Problem Solving
Version Control
SQL
Cloud Platforms
Python
TypeScript
Postgres

Remote locations

Kitchener-Waterloo, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

AI
Engineering
Data Pipelines
LLM
Testing
CI
Model Guardrails
Experiment Design
Observability
A/B Testing
Production Systems
Software Engineering
Cloud Platforms
Python
TypeScript
Postgres
Compliance
GDPR
PIPEDA
SOC 2
PCI-DSS
Applied ML
Computer Vision
Startup Experience
Vector Databases

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