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AI Engineer

HighlightTA

Toronto
Remote
CAD 80,000 - 110,000
5 days ago
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Développeur logiciel pour xUI Edge Gen 1 / Software Developer for xUI Edge Gen 1

Cerence

Canada
Remote
CAD 70,000 - 90,000
5 days ago
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Manager, Software Development - Global Developer Relations Canada - REMOTE

Autodesk

Montreal
Remote
CAD 136,000 - 187,000
5 days ago
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Enterprise Sales Executive

Direct Recruiters Inc.

Saskatoon
Remote
CAD 140,000 - 150,000
5 days ago
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Business System Analyst

Turtle Island Staffing

Canada
Remote
CAD 70,000 - 90,000
5 days ago
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Senior Product Security Engineer

Instacart

Manitoba
Remote
CAD 165,000 - 214,000
5 days ago
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Occupational Therapist II – Alberta Virtual Pain Program

Alberta Health Services

Calgary
Remote
CAD 60,000 - 80,000
5 days ago
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Ingénieure / Ingénieur sénior, Géotechnique

Stantec

Saguenay
Remote
CAD 30,000 - 60,000
5 days ago
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Software Developer (Backend SaaS)

Canonical

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CAD 80,000 - 100,000
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Subject Matter Expert

Morson Canada

Kincardine
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CAD 100,000 - 125,000
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Varsity Tutors, a Nerdy Company

Red Deer
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CAD 30,000 - 60,000
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Alldus International Consulting Ltd

Canada
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CAD 100,000 - 130,000
5 days ago
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Staff Accountant - Center of Excellence - Assurance

EY US

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CAD 60,000 - 80,000
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Senior Network Engineer (Unity)

Greensky Games

Canada
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CAD 70,000 - 100,000
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Work from Home – Seasonal Bilingual Tax Preparer

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Customer Service Representative-Remote (Bilingual: Spanish / English)

Concentrix - CA

Canada
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CAD 60,000 - 80,000
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AI Engineer (Google Cloud)

Stacktics Inc.

Toronto
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CAD 90,000 - 120,000
5 days ago
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Senior DevOps Engineer (AWS - Python/Bash) - Remote

BioLegend, Inc.

Canada
Remote
CAD 90,000 - 120,000
5 days ago
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Business Analyst

Turtle Island Staffing

Canada
Remote
CAD 80,000 - 100,000
5 days ago
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Sales Agronomist - Seed

Grasslands Recruitment Specialists

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Remote
CAD 60,000 - 80,000
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Seasonal Tax Expert - Work from Home

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Drummondville
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CAD 60,000 - 80,000
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BDO Canada

San Juan de Terranova
Remote
CAD 70,000 - 100,000
5 days ago
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Business Development Manager - Quebec

DGA Careers

Quebec
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CAD 60,000 - 80,000
5 days ago
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AI Engineer
HighlightTA
Toronto
Remote
CAD 80,000 - 110,000
Full time
6 days ago
Be an early applicant

Job summary

A leading nonprofit technology provider in Toronto is seeking an AI Engineer to help scale their data and AI platform. In this fully remote role, you will focus on developing and deploying AI systems, collaborating with a dedicated team to create impactful solutions. Ideal candidates will have strong experience in prompt engineering and proficiency in Python along with a passion for nonprofit technology.

Benefits

Unlimited paid time off
Comprehensive health plans
401(k) with company match
Paid parental leave
Pet insurance
Monthly paid volunteer day

Qualifications

  • 3+ years of experience in software engineering or machine learning.
  • 1-2 years of hands-on experience building and deploying AI systems.
  • Deep expertise in prompt engineering.

Responsibilities

  • Develop, test, and refine prompts across various LLMs.
  • Collaborate with product owners to influence AI use case design.
  • Contribute to machine learning training workflows.

Skills

Prompt engineering
Large language models (LLMs)
Python
MLOps

Tools

Hugging Face Transformers
LangChain
PyTorch
TensorFlow
AWS
Snowflake
Job description
About Neon One

At Neon One, we believe that technology is the key to building vibrant communities of generosity. As a leader in nonprofit software since 2004, we create intuitive solutions that help small and mid-sized nonprofits connect with people, build trust, and make good happen every day.

Our culture is powered by empathy, innovation, and a shared mission to empower organizations making a difference. We operate with a customer-first mindset, take pride in extraordinary results, and grow together by supporting each other and embracing bold new ideas. If you’re passionate about using your skills to drive real impact and want to thrive in a collaborative, fully remote environment, Neon One is the place for you.

The AI Engineer role is a foundational hire to help us scale our data and AI platform. You’ll work alongside our data team to deploy production-ready AI systems that power real-time insights for the nonprofit sector. Your work will focus on prompt engineering, Retrieval-Augmented Generation (RAG), and AI services integration — no UI development, just core AI building blocks that enable intelligent automation across our platform.

This is a role for someone who thrives in ambiguity, loves solving open-ended problems, and wants to shape the architecture of AI from the ground up.

Key Responsibilities

AI Platform Development

  • Develop, test, and refine prompts across various LLMs to improve performance, reliability, and usability.
  • Collaborate with product owners to share insights and influence AI use case design.
  • Build Retrieval-Augmented Generation (RAG) systems leveraging structured and unstructured datasets.

System Integration & MLOps

  • Contribute to machine learning training workflows and assist in integrating AI with core data systems (e.g., Snowflake, S3).
  • Work closely with a third-party contractor to implement MLOps pipelines using cloud tooling.
  • Support scalable deployment of AI services across core product areas.

Cloud Services & Tooling

  • Use AWS AI services (or equivalents in GCP or Azure) to manage and deploy AI-powered solutions at scale.
  • Help define templates and reusable components for future AI use cases.
Must-Haves
  • 3+ years of experience in software engineering or machine learning, with at least 1–2 years of hands-on experience building and deploying AI systems or services.
  • Deep expertise in prompt engineering and working with large language models (LLMs).
  • Strong proficiency in Python and experience with modern AI/ML libraries such as Hugging Face Transformers, LangChain, PyTorch, or TensorFlow.
  • Experience working with complex datasets and designing performant algorithms.
  • Familiarity with cloud-based AI services (AWS preferred; GCP or Azure also considered).
  • Comfortable operating independently in an unstructured environment and working cross-functionally.
Great-to-Haves
  • Experience building or fine-tuning ML models in production environments.
  • Hands-on experience with vector databases and RAG architectures.
  • Working knowledge of MLOps principles, particularly with SageMaker or equivalent tools.
  • Familiarity with Snowflake or similar cloud data platforms.
  • Passion for nonprofit technology or prior experience in the social good sector.
Why Join Neon One?

At Neon One, our values are how we show up every day. We make good happen by putting empathy and passion at the center of our work, using technology to uplift mission-driven organizations. We stand for our customers, act with care and intention in every decision, own the solution, and grow together. We innovate fearlessly, always exploring new ways to support our community and each other.

Benefits and More
  • Unlimited paid time off.
  • Comprehensive health plans (medical, dental, vision).
  • 401(k) with up to 3.5% company match.
  • Paid parental leave after one year.
  • Company-paid life insurance and long-term disability.
  • Pet insurance.
  • 11 company holidays.
  • Paid sick time and a monthly paid volunteer day.
  • Medical and dependent care flexible spending accounts.
  • Fully remote workplace.
How We Hire

We use AI tools to support our recruitment process, including helping us organize applications and identify early matches based on role criteria. That said, every rejection decision is made by a human. We encourage candidates to apply authentically and avoid relying solely on AI-generated responses, especially during interviews.

This opportunity is offered through HighlightTA, the on-demand talent team supporting Neon One’s growth.

Connect with us and learn more:

Neon One on LinkedIn

HighlightTA on LinkedIn

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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