Jobs in Canada

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Added 3 months ago
D
Market Research and Competitive Intelligence Analyst II [568]
D-Wave
Burnaby, BC
- $73,000 to $100,000 CAD / year
Experience working with dashboards or data visualization tools (e.g., Tableau, Power BI, Python, or similar).
Added 3 months ago
DevOps Lead
Web Hosting Canada (WHC)
Montreal, QC
Solid scripting and automation (Bash, plus Python or Perl), and real experience managing server configuration in Git and automating changes safely.
Added 4 months ago
R
Senior Staff Software Engineer, Platform
Rippling
Toronto, ON
- $201,000 to $335,000 CAD / year
…event-driven dependency graph, workflow engine, search capabilities, developer ecosystem, and Rippling Query Language…
Added 6 months ago
Senior Analyst, Data & GIS
Novacap
Brossard, QC
Proficiency in Python for scripting, automation, and geospatial workflows
Added 3 months ago
Student Researcher, BS/MS, Fall 2026
Google
Toronto, ON · Waterloo, ON · Montreal, QC
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
Added 3 months ago
Student Researcher, PhD, Fall 2026
Google
Toronto, ON · Waterloo, ON · Montreal, QC
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
Added 3 months ago
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Senior Professional Services Consultant
Ataccama
Toronto, ON
- Full-time
Solid experience with Python or other programming languages
Added 3 months ago
AC
Business Operations Analyst, Talent and Business Systems
Agentis Capital Advisors
Vancouver, BC
- $72,000 to $75,000 CAD / year
- Full-time
Added 2 months ago
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Senior Full-Stack Software Development Engineer
Remitly
Burnaby, BC
- Full-time
Strong backend fundamentals - experience building, scaling, and operating distributed services in a language such as Go, Java, Python, or Kotlin.
Added 3 months ago
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Risk Strategist
Relay
Remote, Canada
- Full-time
- Remote
You’re proficient in Python for advanced analysis or automation
Added 2 months ago
Senior, Cloud Engineering
Scotiabank
Toronto, ON
The Senior, Cloud Engineering role operates within the Cloud Platform Engineering team. This role specializes in Cloud Developer Experience (DevEx) Engineering, focusing on building tools,…
Added 3 months ago
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Scientifique-chercheur en IA Appliquée /Applied AI Research Scientist
Thales
Montreal, QC
- Full-time
Added 4 months ago
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Applied Scientist, AICE - AI Center of Excellence
Amazon Science
Vancouver, BC
- Full-time
Experience with programming languages such as Python, Java, C++
Added 6 months ago
Ingénieur en Données Géospatiales / Geospatial Data Engineer
Shearwater
Montreal, QC
Excellente maîtrise du développement en Python et de la pile scientifique (NumPy, Pandas, SciPy).
Added 5 months ago
HC
Research Engineer - Agentic Software Systems Engineering
Huawei Canada
Markham, Ontario
- Full-time
Proficiency in Python (or TypeScript, Go, or C/C++), with the ability to translate research ideas into scalable, reproducible prototype systems and to communicate technical insights…
Added 4 months ago
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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
A
Staff Applied Scientist
Afresh
Remote, Canada
- $169,000 to $252,000 CAD / year
- Full-time
- Remote
Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc). Prior experience with Python is not required.
Added 4 months ago
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Apps Development Sr Manager - Vice President
Citi
Mississauga, Ontario
- Full-time
Collaborate with development teams to create a seamless developer experience and ensure applications are built with scalability, reliability, and security in mind.
Added 4 months ago
GH
Engineering Manager
Greenspace Health
Remote, Canada
- $140,000 to $155,000 CAD / year
- Full-time
- Remote
…data. Fluency in or ability to quickly ramp up in our stack: Python, JavaScript/TypeScript, Django, PostgreSQL, Redis,…
Added 4 months ago
EL
Senior Financial Analyst
Empire Life
Canada
- Full-time
Understanding of entry-level coding and Python would be an asset.
Added 3 months ago
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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
PR
Software Developer
Promise Robotics
Edmonton, AB · Calgary, AB
- Full-time
We’re looking for an Software Developer to join our team and contribute to developing cutting-edge solutions for our core robotic manufacturing technologies. The ideal candidate will have a…
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
…experience with VBA (knowledge of the following is a plus: R or Python Statistical Programming, Structured Query Language (SQL), Tableau/Power BI,…
Added 3 months ago
T
Ingénieur opérations aériennes / Flight Operations Engineer
Telesat
Gatineau, QC
- Full-time
Expérience en programmation en C et en Python ainsi qu’en bases de données constitue un atout.

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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