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Added 1 min ago
Data Analytics & Automation Engineer
Aon Corporation
Calgary, AB · AB · Vancouver, BC · Toronto, ON · Edmonton, Alberta
Full-time
Experience developing solutions using Power BI, Power Apps, Power Automate, SQL, and Python.
Added 14 mins ago
Senior Integration Developer
York University
Toronto, ON
Full-time
Added 14 mins ago
Data Annotator
Placement Group
Canada
Full-time
Basic knowledge of Python, SQL, or data analysis tools is a plus.
Added 14 mins ago
Senior Data Scientist
National Bank of Canada
Montreal, QC
Full-time
Added 14 mins ago
Senior Analytics Engineer
Securian Canada
Waterloo, ON
$100,000 to $130,000 CAD / year
Full-time
Added 14 mins ago
Cybersecurity Specialist
J&M Group
Toronto, ON
Full-time
Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 14 mins ago
Oracle PL/SQL Developer
Capgemini
Mississauga, ON
Full-time
Beginner level proficiency in Python REST API and AWS is a plus
Added 14 mins ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
Experience building production-grade AI applications in Python - not just notebooks or prototypes.
Added 16 mins ago
Senior Automation Developer (Java)
Citi
Mississauga, ON
Full-time
We are seeking a highly skilled Senior Automation Developer for a fully hands-on, programmatic engineering role dedicated to architecting, refactoring, and maintaining scalable, distributed…
Added 16 mins ago
ASIC Processor Complex Engineering Co-op (January 2027 - 4 months)
Ciena
Ottawa, ON
Full-time
Develop and enhance Python scripts for simulation regression launching, reporting and analysis, build and debug workflow optimization, and a relational database application for debug and…
Added 16 mins ago
Data Architect - Intermediate
Insurance Corporation of British Columbia
North Vancouver, BC
Strong SQL and analytical skills, with experience managing large, complex datasets using tools such as Python, Spark, and SQL.
Added 31 mins ago
Acoustics Consultant/Engineer
SLR Consulting
Calgary, AB
Full-time
Experience with acoustic modelling tools (e.g., Insul, CadnaA, CATT, Odeon, EASE, SAP2000, Visual Basic, MATLAB or Python for signal processing) is an asset.
Added 31 mins ago
Manager, IT
7shifts
Toronto, ON
Strong scripting skills in Bash, Python, or Perl, with a focus on automating repetitive tasks and improving efficiency
Added 44 mins ago
Kafka Developer
K&K Global Talent Solutions INC.
Mississauga, ON
Contract
…administrative and operational tasks using Shell scripting, Python, or other automation tools.- Ensure platform compliance with organizational security, governance, audit, and regulatory…
Added 44 mins ago
Senior Business Analyst / Data Analyst (Security Master)
RBC
Toronto, ON
Full-time
Proficient in SQL, Python for data analysis, profiling, and querying complex databases, plus advanced proficiency in Microsoft Office for documentation and reporting.
Added 44 mins ago
Software Developer
PEER Group
Kitchener, ON
$70,000 to $102,000 CAD / year
Full-time
We are seeking a Software Developer to join our Engineering Services team and contribute to best-in-class software applications for the semiconductor industry. Reporting to the Software…
Added 44 mins ago
Kafka Developer / Admin
K&K Global Talent Solutions INC.
Mississauga, ON
$100,000 to $110,000 CAD / year
Full-time
Automate administrative and operational tasks using Shell scripting, Python, or other automation tools.
Added 44 mins ago
Senior Analytics Engineer
Securian Canada
Toronto, ON
$100,000 to $130,000 CAD / year
Full-time
Added 44 mins ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost, and LightGBM.
Added 46 mins ago
Application Support Developer
Sagen
Oakville, ON
Reporting to the Manager, IT Production Support, the Application Support Developer is responsible for contributing to the overall stability, reliability, and continuous improvement of…
Added 1 hour ago
Senior Backend Developer
RemitBee™
Mississauga, ON
$60,000 to $90,000 CAD / year
Full-time
You build and run the backend services that move money to more than 100 countries. Node.js and TypeScript or Python - either is fine, we care about the depth, not the language. Postgres or…
Added 1 hour ago
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
$95,000 to $135,000 CAD / year
Full-time
Proficiency in scripting or automation languages including Python, PowerShell, or Bash.
Added 1 hour ago
Lead Engineer
Raymond James
Vancouver, BC
Full-time
Added 1 hour ago
Manager, Origination Analytics
Rev Renewables Ops, LLC
Oakville, ON
$140,000 to $170,000 CAD / year
Full-time
Proficiency with software tools including Excel, AI, Python, PowerPoint
Added 1 hour ago
Student, Business Analyst, Application Delivery (Winter 2027)
AIMCo
Calgary, AB · AB · Edmonton
Full-time
Proficiency with programming language(s) and or Database Technologies (e.g. Python, SQL, XML, XSLT, MS SQL Server, Oracle, C#, JQuery, CSS, HTML) is desirable.

Benevity

Senior Staff Developer, AI and Machine Learning

Remote, Canada

Job type: Full-time
Workplace: Remote
Experience: 8+ years of software engineering experience, with at least 4+ years architecting and deploying ML models in production at scale.
Posting language: English
Posted: Sep 25, 2026

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Original job description

Meet Benevity

Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!

This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our machine learning and AI efforts, leading the end-to-end architecture of our GenAI strategy.

You will bridge the gap between theoretical research and production-grade engineering - designing the scalable systems that power our model training, deployment, and monitoring. We are looking for a rare combination of deep technical mastery and strategic leadership to ensure our AI initiatives deliver high-impact, measurable business value.

What you’ll do:

Design and oversee the development of robust end-to-end ML architecture, from data ingestion and feature stores to model serving and monitoring.
Define the long-term roadmap strategy for our AI infrastructure and orchestration framework.
Oversee the design, implementation, and maintenance of our AI/ML ecosystem.
Design AI capabilities as extensible, self-service primitives (APIs, SDKs, standardized patterns) that let other domain teams build their own AI-powered features independently.
Set the standard for MLOps - you will ensure that our ML ecosystem is as testable, maintainable, and scalable as our core application code.
Cross-functional leadership - by working closely with Product Managers, Data Scientists and ML Engineers to translate business problems into concrete technical requirements.
Act as a force multiplier for the team by conducting high-level design reviews and mentoring engineers on system design and performance optimization.
Architect and evolve LLM-powered applications (e.g., copilots, search, assistants, agents), including RAG pipelines, tool integrations, and multi-step reasoning workflows.
Design and implement robust evaluation frameworks for GenAI systems, incorporating offline benchmarks, online metrics, and human-in-the-loop feedback.
Drive best practices for prompt engineering, agent design, and orchestration frameworks, ensuring maintainability and performance at scale.
Establish guardrails and safety mechanisms for GenAI applications, including prompt injection defenses, hallucination mitigation, and responsible AI practices.
Establish the golden path for model versioning, A/B testing, and automated rollbacks for identifying and mitigating drifts.
Ensure AI architectural strategy aligns with industry best practices and standards, complies with security policies and industry regulations.
Identify opportunities for process improvements and implement solutions to enhance platform performance and efficiency.

What you’ll bring:

Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field, or equivalent deep professional experience.
8+ years of software engineering experience, with at least 4+ years architecting and deploying ML models in production at scale.
2+ years in a technical leadership role on building scalable platforms, technology transformation and modernization initiatives.
Proven experience operating at a Staff or Senior level, including technical leadership, architecture ownership, and mentoring engineers.
Experience building internal platforms/self-service infrastructure for other engineering teams to build on, not just shipping product features directly.
Deep expertise in MLOps and production ML systems, including model training, evaluation, deployment, monitoring, and lifecycle management.
Strong experience with cloud platforms (AWS or Google Cloud), including designing and operating scalable, distributed AI/ML workloads.
Solid understanding of data architecture and data engineering, including data pipelines, feature engineering, data modeling, and large-scale data processing.
Experience with ML infrastructure and tooling, such as feature stores, experiment tracking, model registries, and orchestration frameworks.
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), with strong software engineering fundamentals.
Experience with CI/CD and ML deployment pipelines, including automated testing, validation, and rollback strategies for ML systems.
Familiarity with LLM-based systems and GenAI applications, including systems design, evaluation strategies, and observability for non-deterministic systems.
Strong understanding of LLM architectures and trade-offs, including model selection, latency, cost, and quality optimization.
Experience with prompt engineering and prompt orchestration, including techniques like few-shot learning, chain-of-thought, and tool/function calling.
Experience designing and implementing RAG (Retrieval-Augmented Generation) systems, including embedding strategies, vector databases, and retrieval optimization.
Experience building agentic workflows, including multi-step reasoning, tool use, and orchestration frameworks (e.g., LangChain, LlamaIndex, ADK, or custom frameworks).
Strong understanding of system design for reliability and scalability, including distributed systems, APIs, and microservices architecture.
Knowledge of data governance, model governance, and responsible AI practices (security, privacy, bias, explainability).
Demonstrated ability to translate ambiguous business problems into scalable AI/ML solutions.
Excellent communication and collaboration skills, with the ability to influence stakeholders and drive cross-functional alignment.

Great-to-haves:

Certification in relevant cloud platforms or technologies.

Discover your purpose at work

We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more …

Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose.

If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become …

It’s time to join Benevity. We’re so excited to meet you.

Where We Work

At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most.

Join a company where DEIB isn’t a buzzword

Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily - from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams.

We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine.

That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity.

Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.

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More about this job

Responsibilities

You will serve as the technical anchor for AI and machine learning efforts, leading the end-to-end architecture of the GenAI strategy. This involves designing scalable systems for model training, deployment, and monitoring while acting as a force multiplier for the engineering team.

Requirements

The role requires 8+ years of software engineering experience with at least 4 years specifically in architecting and deploying production-grade ML models. Candidates must possess a degree in Computer Science or a related field and demonstrate deep expertise in MLOps, cloud platforms, and LLM-based systems.

Skills

Machine Learning
Artificial Intelligence
GenAI
MLOps
Python
System Architecture
Cloud Computing
LLM
RAG
Data Engineering
Distributed Systems
API Design
Technical Leadership
Prompt Engineering
Model Deployment
Software Engineering

Benefits

Flexible hybrid work environment
Employee resource groups
Purpose-driven work culture
Growth opportunities

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
GenAI
MLOps
Python
AWS
Google Cloud
TensorFlow
PyTorch
Scikit-learn
LLM
RAG
LangChain
LlamaIndex
Feature Stores
CI/CD
Distributed Systems
Microservices
Data Governance
Prompt Engineering
Model Registry
System Design
API
Software Engineering
Architecture
Scalability
Observability
Automation
Data Pipelines
Responsible AI

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