238 AI Engineer jobs in Canada

Job Description

Salary:

At YuJa, we are on a mission to equip regulated sector clients with solutions to deliver compliant digital experiences. We integrate AI thoughtfully to support smarter decisions and create more inclusive, user-centric solutions. Were looking for a passionate AI Engineer to join our core engineering team and help design, build, and scale our AI infrastructure and models.

About Us

YuJa, Inc. is a leading provider of cloud-based digital compliance and accessibility solutions for regulated sectors worldwide. Serving clients in higher education, K-12, government, and healthcare, YuJa enables organizations to meet evolving regulatory demands while delivering engaging, secure, and accessible digital experiences. We have legal headquarters in Delaware with primary U.S. offices in Silicon Valley, California and Canadian offices in Toronto.

About the Role

• Design, develop, and deploy machine learning and deep learning models
• Collaborate with product, design, and engineering to integrate AI models into customer-facing applications
• Conduct experiments, analyze data, and iterate models for performance improvement
• Optimize model performance and scalability (e.g., quantization, distillation, edge deployment)
• Stay current with the latest research and apply relevant findings to real-world problems
• Build and maintain pipelines for data collection, preprocessing, training, and evaluation
• Contribute to overall system design and participate in code reviews

About You

• 2-3 years experience in AI/ML Engineering or Applied Data Science
• Proficiency in Python and frameworks like PyTorch, NumPy, SciPy, Scikit-learn, and OpenCV.
• Experience with building, training, and deploying models in production
• Strong understanding of machine learning fundamentals
• Knowledge of cloud infrastructure (AWS, GCP, Azure)
• Experience in LLM frameworks like LangChain and Vector databases like Pinecone is an asset
• Experience working in a fast-paced environment is preferred
• Familiarity with front-end or full-stack technologies is a plus

Why You'll Love Working Here

YuJa is a multiple-time honoree on Forbes list of Best Start-Up Employers in America. We offer a competitive compensation package that includes a base salary of $90,000 to $100,000 (We are looking for top performers based on work experience and academic performance. For the right candidate, we will beat any contending offer you have or offer a name your salary opportunity for star candidates) , and comprehensive benefits and engagement opportunities.

Comprehensive Benefits:

• Health, vision, and dental benefits, 100% employer-paid
• Additional benefits include RRSP, gym subsidies, and more
• Work-life balance including flexible work hours
• Paid sick days

Team Engagement:

• Fun activities and celebrations, including Canada Day Trip, Saint Patrick's Day Party, Halloween Costume Contests, Holiday Dinner Party, and more
• Office perks including company-provided snacks, drinks and events
• Employee recognition programs, such as gift cards and Employee of the Week rewards
• Professional growth including continuous learning opportunities and reimbursements to support personal and professional development
• Hands-on experience working with senior-level business leaders

Schedule

This is an office-based role with standard hours from Monday to Friday.

How to Apply

You may apply directly online via this site by submitting your resume. If any questions, please send an email

YuJa is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description

About Alexa Translations
Alexa Translations provides translation services in the legal, financial, and securities sectors by leveraging proprietary A.I. technology and a team of highly specialized linguistic experts. Unmatched in speed and quality, our machine translation engine is best-in-class and specifically trained for the French-Canadian market. If that wasn’t enough, our technology is backed by two decades of award-winning client service.

About the Role
We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead on GenAI, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data.

Responsibilities

• Research and implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment while also focusing on prompt engineering and GenAI more broadly.
• Work closely with machine learning engineers and data scientists to design, build, and test models.
• Contribute to technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
• Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
• Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
• Work closely with software and DevOps engineers to deploy GenAI models.
• Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contribute to internal knowledge sharing and continuous improvement initiatives.
   
• Requirements
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 1+ years of industry experience developing GenAI and LLM applications is preferred.
• 2+ years of professional experience as a software engineer is required.
• Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
• Working knowledge and project-based record of all of the following: prompt tuning, RAG, ICL.
• Working knowledge and project-based record of at least one of the following is a plus: continued pre-training, instruction fine-tuning, Agent.
• Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
• Hands-on experience with Huggingface APIs or Amazon Bedrock.
• Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
• Experience with cloud platforms like AWS, GCP, or Azure
• Self-driven, self-motivated with excellent time management skills
• Excellent communication skills, with the ability to convey complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
• Familiarity with GPU programming and optimization techniques for accelerating deep learning computations.
• Ability to adapt to shifting priorities without compromising deadlines and momentum.
• Prior experience in generative AI research, projects, or internships, with contributions to open-source projects or publications in relevant conferences or journals.

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Job Description

About Alexa Translations
Alexa Translations provides translation services in the legal, financial, and securities sectors by leveraging proprietary A.I. technology and a team of highly specialized linguistic experts. Unmatched in speed and quality, our machine translation engine is best-in-class and specifically trained for the French-Canadian market. If that wasn’t enough, our technology is backed by two decades of award-winning client service.

About the Role
We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead on GenAI, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data.

Responsibilities

• Research and implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment while also focusing on prompt engineering and GenAI more broadly.
• Work closely with machine learning engineers and data scientists to design, build, and test models.
• Contribute to technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
• Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
• Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
• Work closely with software and DevOps engineers to deploy GenAI models.
• Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contribute to internal knowledge sharing and continuous improvement initiatives.
   
• Requirements
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 1+ years of industry experience developing GenAI and LLM applications is preferred.
• 2+ years of professional experience as a software engineer is required.
• Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
• Working knowledge and project-based record of all of the following: prompt tuning, RAG, ICL.
• Working knowledge and project-based record of at least one of the following is a plus: continued pre-training, instruction fine-tuning, Agent.
• Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
• Hands-on experience with Huggingface APIs or Amazon Bedrock.
• Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
• Experience with cloud platforms like AWS, GCP, or Azure
• Self-driven, self-motivated with excellent time management skills
• Excellent communication skills, with the ability to convey complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
• Familiarity with GPU programming and optimization techniques for accelerating deep learning computations.
• Ability to adapt to shifting priorities without compromising deadlines and momentum.
• Prior experience in generative AI research, projects, or internships, with contributions to open-source projects or publications in relevant conferences or journals.

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Job Description

About Alexa Translations
Alexa Translations provides translation services in the legal, financial, and securities sectors by leveraging proprietary A.I. technology and a team of highly specialized linguistic experts. Unmatched in speed and quality, our machine translation engine is best-in-class and specifically trained for the French-Canadian market. If that wasn’t enough, our technology is backed by two decades of award-winning client service.

About the Role
We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead on GenAI, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data.

Responsibilities

• Research and implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment while also focusing on prompt engineering and GenAI more broadly.
• Work closely with machine learning engineers and data scientists to design, build, and test models.
• Contribute to technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
• Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
• Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
• Work closely with software and DevOps engineers to deploy GenAI models.
• Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contribute to internal knowledge sharing and continuous improvement initiatives.
   
• Requirements
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 1+ years of industry experience developing GenAI and LLM applications is preferred.
• 2+ years of professional experience as a software engineer is required.
• Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
• Working knowledge and project-based record of all of the following: prompt tuning, RAG, ICL.
• Working knowledge and project-based record of at least one of the following is a plus: continued pre-training, instruction fine-tuning, Agent.
• Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
• Hands-on experience with Huggingface APIs or Amazon Bedrock.
• Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
• Experience with cloud platforms like AWS, GCP, or Azure
• Self-driven, self-motivated with excellent time management skills
• Excellent communication skills, with the ability to convey complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
• Familiarity with GPU programming and optimization techniques for accelerating deep learning computations.
• Ability to adapt to shifting priorities without compromising deadlines and momentum.
• Prior experience in generative AI research, projects, or internships, with contributions to open-source projects or publications in relevant conferences or journals.

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Job Description

About Frugal

Frugal is an AI-powered coding agent purpose-built to tackle one of the most persistent problems in tech: runaway cloud costs. Despite years of optimization efforts, cloud expenses remain high—and with AI workloads on the rise, the problem is about to get much worse. While existing tools help right-size infrastructure, they overlook a major driver of inefficiency: the application code itself.

That’s where Frugal comes in. Our agent analyzes source code, cloud billing data, and observability signals to pinpoint inefficient code patterns, recommend improvements, and even automate fixes via pull requests. Unlike traditional FinOps approaches—which struggle to engage developers—Frugal embeds directly into their workflow, making cost optimization a seamless part of the development lifecycle.&

We’re looking for driven, curious, and talented people to join our team. Help us empower developers to reduce the cost of their applications.

We offer competitive salaries, benefit programs, stock options and flexible work from home options.

At this time we are focusing on hiring for our Ottawa Canada office.

About the Role

As a Senior AI Engineer at our seed-stage SaaS startup in Ottawa (hybrid), you drive the development of critical AI powered features and systems that directly impact customer success and business growth.

You take ownership of complex technical challenges, from initial design through production deployment, ensuring solutions are scalable, maintainable, and aligned with our enterprise-grade standards.

You collaborate with cross-functional teams to translate business requirements into robust technical implementations, contributing to architecture decisions and establishing patterns that other engineers can follow.

You mentor team members through code reviews, pair programming, and knowledge sharing while championing engineering best practices including automated testing, observability, and security compliance (SOC 2).& You will champion our evals strategy and how to best utilize different models for different features.

You work closely with your team as well as the VP of Engineering and CTO to influence technical direction, evaluate new technologies, and contribute to the roadmap planning process.

You engage with customers and stakeholders to understand pain points and validate technical solutions that deliver measurable value.

You embrace our culture of continuous improvement by staying current with industry trends, enabling rapid change through AI-driven development tools, and contributing to our agile development processes.

This role offers significant autonomy and growth potential as you help scale both our platform and engineering organization during this critical phase of company development.

&

Must Have:

• 5+ years of software engineering experience with backend systems and SaaS platforms
• Experience with AI/ML integration and/or working with LLMs
• Strong proficiency in modern programming languages (Python, Go, TypeScript/Node.js, or similar)
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience building enterprise-grade software with security considerations
• Solid understanding of distributed systems, microservices architecture, and API design
• Experience with CI/CD pipelines, automated testing, and deployment practices
• Knowledge of observability tools and practices (logging, monitoring, metrics)
• Strong communication skills for cross-functional collaboration and customer interactions
• Experience working in fast-paced, early-stage environments with ambiguous requirements
• Ability to translate business requirements into technical solutions
• Comfort with wearing multiple hats and adapting to changing priorities
• Self-directed work style with strong ownership mentality

Nice to Have:

• Previous experience with FinOps, cloud cost management, or infrastructure optimization
• Background in static code analysis tools or developer tooling
• Experience with compliance frameworks (SOC2, FedRamp)

&

&

Job Description

Senior AI Engineer

Vetster (vetster.com) is the world's fastest-growing veterinary telehealth and pet care marketplace. Since our launch in 2020, we have established ourselves as a leader in the rapidly growing pet care industry. Named Pet App of the Year, Vetster makes it easier for pet owners to connect with the veterinary care they need - anytime, anywhere,

We know that by empowering pet owners with easy-to-use, convenient services and an open marketplace, we can move the industry forward, create professional opportunities in the veterinary community, and fundamentally improve animal well-being and access to care. The work we are doing is groundbreaking and is changing lives.

We work in cross-functional teams and believe ownership and accountability, along with trust, respect and inclusion are core tenets of success in our new working paradigm. At all levels, successful Vetster team members are those who seek to grow their careers and who share our ambition to build a global high-growth brand. Please note this role is hybrid, with 2 days per week in our office in midtown Toronto at Yonge and Summerhill.

At Vetster, we are building the next generation of marketplace platforms, from connecting vets and pet parents, to getting all important medications quickly to pets. From building out critical architecture, to embracing artificial intelligence in product and internally.

We are seeking a Senior AI Engineer to join our growing team and play a pivotal role in shaping the future of our products and operations. This is a unique, hands-on opportunity to work at the intersection of Generative AI, intelligent agent design, and scalable systems engineering. You will be consulting on high-impact initiatives, from architecting autonomous agents that revolutionize our internal workflows to embedding cutting-edge AI features that will delight our customers to advising on data projects. If you are a passionate engineer who thrives on solving complex problems and wants to build the next generation of AI-powered solutions, we want to hear from you.

This is more than just a coding role; it's an opportunity to be a technical cornerstone for our products. You will have the autonomy to make a significant impact on our platform, our processes, and our people.

• Lead the design, development, and deployment of scalable, enterprise-grade AI solutions, from conceptualization and prototyping to production monitoring and maintenance.
• Architect and implement autonomous and semi-autonomous AI agents using frameworks like LangChain, n8n, MCP, A2A, and RAG pipelines to automate complex internal business processes and enhance operational efficiency.
• Collaborate closely with product management and engineering teams to integrate cutting-edge generative AI capabilities and intelligent features into our core product offerings, directly enhancing the customer experience.
• Serve as a key technical leader and mentor for our engineering teams, providing expert guidance on AI/ML best practices, system architecture, and the practical application of LLM APIs and services.
• Engineer and maintain the critical data and context layers for our AI systems, including building robust data pipelines, vector databases, and context retrieval systems to ensure our models are accurate, relevant, and secure.
• Develop and champion a set of reusable SDKs, modular APIs, and best-practice patterns for AI development, enabling other teams to build and deploy AI features more rapidly and consistently.
• Act as an AI evangelist across the organization, developing and delivering training, workshops, and documentation to empower non-technical departments to effectively leverage LLMs and AI tools.
• Own the full lifecycle of AI models in production, implementing MLOps principles for CI/CD, observability, and continuous improvement to ensure our systems are reliable, scalable, and cost-effective.

We're looking for a leader who is excited by our mission and is ready to make an impact. Here's what we think you'll need to be successful:

• A minimum of 5+ years of professional experience in a software engineering capacity, with a proven track record of shipping production-grade systems.
• At least 2 years of recent, hands-on experience building applications with LLMs, agentic frameworks (e.g., LangChain, LlamaIndex), RAG architectures, and vector databases (e.g., Pinecone, Milvus).
• You have a history of leading technical projects, mentoring other engineers, and making critical architectural decisions.
• Expert-level proficiency in Python and a strong command of software engineering fundamentals, including data structures, algorithms, and API design.
• Experience deploying and operating scalable services in a major cloud environment (AWS, GCP, or Azure) and a strong understanding of modern data engineering principles and tools (e.g., Airflow, Spark, Docker).
• You can articulate complex technical ideas to both technical and non-technical audiences with clarity and confidence. You thrive in a collaborative, cross-functional environment.
• You are a self-starter with a bias for action, a deep sense of ownership, and a passion for tackling ambiguous, high-impact challenges.
• Nice to haves: Portfolio of open source contributions, experience fine-tuning open source LLM's, using real-time streaming technologies like Kafka or Kinesis, and familiarity with IaC tools such as Terraform or Cloudformation

• Unlimited access to Vetster for your pets.
• Dog-friendly office environment.
• Generous vacation and personal day policy.
• Comprehensive health and dental benefits for you and your family.
• Competitive salary with market alignment.
• RRSP matching and Employee Stock Option Plan.
• Opportunities for career growth and international assignments.
• A culture of inclusivity, equity, and team engagement.

We believe in a transparent and respectful hiring process. Here's what you can expect:

1. Stage 1: Introductory Meeting: This is a 30-minute Google Meet video call with Keltie Neville (People Operations) to share more about the role and Vetster, and learn about you.
2. Stage 2: Skills Interview: This is a 60-minute Google Meet video interview with Tolga Ercan (Director of Engineering), where he will take you through our Engineering roadmap and learn more about your skills and experience.
3. Stage 3: In-person Presentation of Assignment and discussion: Vetster HQ (14 Birch Avenue, Toronto.) with Tolga Ercan (Director of Engineering) and members of the engineering team. Prior to the meeting, a work assignment will be given (We will compensate you for your time.)
4. Stage 4: Coffee meet up with Regan Johnson (CTO)

Embark on a fulfilling journey with us, shaping the future of pet healthcare through design. If you're driven by innovation, collaboration, and a love for pets, apply now to join our mission-driven team. Please note this role is hybrid, with 2 days per week in our office in midtown Toronto at Yonge and Summerhill.

We are committed to providing accommodations for applicants with disabilities. Please let us know if you require any accommodations during the recruitment process.

Job Description

Job Summary:

We are seeking a skilled and innovative AI Engineer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate will have strong experience in AI/ML model development, deep learning frameworks, and algorithm optimization, with the ability to work on real-world data at scale. This role involves close collaboration with data scientists, software engineers, and product teams to build intelligent applications and systems.

• Design, train, and optimize machine learning and deep learning models for classification, regression, NLP, computer vision, or recommendation systems.

• Deploy models into production using scalable and efficient pipelines (MLOps).

• Monitor model performance and retrain/refine models as needed.

• Work with large datasets: collect, clean, preprocess, and transform data from multiple sources.

• Perform feature engineering and selection to enhance model performance.

• Collaborate with data engineering teams to build robust data pipelines.

• Integrate AI models into backend systems, APIs, web apps, or cloud services.

• Ensure models are explainable, scalable, and aligned with business goals.

• Research and evaluate new AI tools, libraries, and industry trends to keep solutions cutting-edge.

• Document model design, testing results, APIs, and workflows for reproducibility.

• Work cross-functionally with product managers, engineers, and analysts to align on requirements and deliverables.

• Participate in code reviews, Agile ceremonies, and innovation sessions.

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.

• 25+ years of experience in AI/ML engineering, data science, or software development.

• Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, or similar.

• Experience with cloud platforms like AWS, GCP, or Azure (especially AI/ML services).

• Strong knowledge of machine learning algorithms, model evaluation, and deployment best practices.

• Experience working with REST APIs, databases (SQL/NoSQL), and version control (Git).

• Experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).

• Background in deep learning, NLP, computer vision, or generative AI (e.g., LLMs, diffusion models).

• Familiarity with data labeling, A/B testing, and real-time inference systems.

• Publications, GitHub projects, or certifications in AI/ML/Deep Learning (Google, Coursera, AWS Certified Machine Learning, etc.).

Job Description

Join the Frontlines of an AI-Native Fintech

At Mogo, we’re reimagining the future of personal finance by embedding AI as the foundation — not as a layer. We're building intelligent, self-optimizing systems that aim to help millions of Canadians invest more intelligently and access credit more responsibly. Our platform is designed to break the cycle of short-term thinking in wealth and lending by combining proven value-investing principles with cutting-edge technology.

We’re building an elite platform for the next generation — one that helps Canadians graduate from stock gambling, underperforming funds, and high-fee advisors. By embedding intelligence into every layer of the product, we’re creating something that’s transparent, scalable, and truly transformative.

If you're a full stack builder who wants to go beyond "using AI" and help create a fintech that is built on AI, we want to talk.

The Role: Full Stack AI Engineer

We're looking for a product-minded engineer who can:

• Move fast like a startup dev
• Architect and ship production-grade systems
• Build LLM-native, intelligent workflows
• Help lead the evolution of Mogo into an AI-first platform

You’ll drive development across backend systems and LLM agent orchestration, contributing to features that are autonomous, adaptive, and self-optimizing.

The base salary for this role is $115,000 – $150,000 CAD

What You’ll Build

• Production-Grade AI Systems
  Deploy and maintain LLM-powered systems in production environments with clear SLAs, observability, and fallback strategies. Focus on scalability, latency, throughput, and reliability to ensure AI services deliver real business value.
• AI-Native Workflows
  Design and ship agent-based flows across onboarding, support, credit decisioning, and payments. You'll help build a self-serve credit experience that gets smarter with every user interaction, improving decisioning, repayments, and personalization through intelligence. Work cross-functionally with Product, Design, and Compliance to ensure these flows drive real outcomes and align with regulatory standards.
• LLM Integrations
  Work with OpenAI, Claude, LangChain,, and other tools to build intelligent experiences. These include LLM-powered education tools and conversational interfaces that guide users through investing and credit decisions. Participate in architectural design discussions that center on securely and efficiently integrating LLM systems into production environments. Stay current with the latest AI advancements and evaluate emerging tools and frameworks that can advance our product.
• End-to-End Features
  Develop full stack features with real impact—from backend APIs and microservices in Node.js/TypeScript to intelligent frontends in React or React Native—supporting personalized, AI-powered finance journeys. Champion best practices in testing, deployment, and code quality through modern development workflows (TDD, CI/CD, AI-driven testing).
• Autonomous Infrastructure
  Replace manual ops with AI-driven systems that don’t just assist, but autonomously take action. Your work will enable a high-performance fintech operation that’s lean, scalable, and largely self-managing.
• Scalable Intelligence
  Architect systems for continuous learning, observability, and performance. Define and monitor AI performance metrics to assess model behavior, user impact, and long-term value. Your solutions will support both a smarter lending platform and a next-generation investing experience grounded in value-investing principles and real-time data.
• AI-Optimized Engineering Practices
  Contribute to a culture of technical excellence by participating in code reviews, mentoring peers in AI-native engineering approaches, and continuously raising the bar for scalable, intelligent development.
   

What You’ll Need

• 4+ years of experience as a full stack or backend engineer
• Strong skills in Node.js, TypeScript, and MongoDB/MySQL
• Experience building and deploying LLM-based applications using OpenAI, Claude, LangChain, etc.
• Comfort with AI workflows like prompt chaining, embeddings, RAG, or vector search
• Familiarity with React/React Native to build intelligent frontends
• Experience optimizing LLM inference or training pipelines for latency, throughput, or cost is a strong plus
• Familiarity with infrastructure-as-code and cloud-native tooling (e.g. Docker, Terraform, AWS Lambda, CloudWatch, AWS CDK)
• Proficient in batch processing tasks, system design, and test-driven development
• Bonus: Exposure to Python for AI scripting or LangChain workflows
• Bonus: Experience with Ruby, event-driven systems (RabbitMQ/SQS), or serverless AWS (CDK, Lambda)

Who Thrives Here

• You have a deep curiosity about AI’s evolving landscape and enjoy staying on the frontier of tools and techniques
• You mentor others and elevate your team through thoughtful feedback, shared learning, and technical clarity
• You think AI is not a feature — it’s the foundation
• You believe fast iteration beats perfection
• You’re excited by 10x impact, not 10% improvements
• You want to own outcomes, not just write code
• You have a growth mindset and a builder’s DNA

AI Is the Driver - Let’s Build the Future Together

This is not AI as an afterthought. It’s the engine. We're not looking for someone to bolt AI onto existing systems — we're hiring engineers who want to rethink the entire system around intelligence.

If you want to be part of a fast-moving, high-performing team that's using AI to redefine what a fintech can be, apply now.

Benefits of working with us:

• ALWAYS FULLY REMOTE WORK - Enjoy the flexibility of remote work, supported by necessary resources #LI-Remote
• Comprehensive Health and Wellness - Access medical, dental, and vision coverage plus a Health Spending Account
• Stock Options - Have a stake in the company's success through stock options
• Flex Vacation - Benefit from paid time off, including vacation days, holidays, and personal days
• Wellbeing Programs - Access counselling services, mental health support, and additional wellness resources

About Us:

We help make it easy for Canadians to achieve financial freedom while making a positive impact.
We live in the most innovative and technologically advanced era, yet so much struggle exists. Most of us are far from where we want to be financially.
We all want a better future. A better world where reaching financial freedom is a question of when, not if. One that's equitable so that all can prosper. One that's safe from the impact of climate change.
Our money has the power to change the world. It’s up to us to do things differently.

Apply today! Do you know anyone who would be a great fit for this role or other roles on our career page? Please share this job posting with them! Mogo is an inclusive place to spend your work life. We hire team members for their talent and diverse backgrounds. Bring your unique perspective to Mogo and help our customers achieve their best financial lives.

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Job Description

About CookUnity

Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you've found the right job posting.

As the Head of AI/ML/GenAI, you will lead a high-performing team of AI/ML engineers, and embedded data engineers. You will be responsible for driving the vision and strategy for CookUnity's AI/ML/GenAI initiatives, data infrastructure, and community-driven engineering efforts. This is a unique opportunity to build and scale state-of-the-art AI/ML solutions that fuel growth and innovation within the company, while fostering a collaborative environment that leverages the expertise of engineers across various domains.

This role reports directly to the Chief Technology Officer (CTO), working closely with senior leadership to align AI/ML strategy with the overall business vision.

A key focus of this role will be accelerating the adoption and integration of Large Language Models (LLMs) and Generative AI (GenAI) technologies across CookUnity, enabling innovative product features and internal efficiencies.

• Leadership & Team Management:
  • Lead, mentor, and develop a cross-functional AI/ML team, including data engineers and embedded data engineers.
  • Foster a community-driven culture that encourages knowledge sharing, collaboration, and continuous learning.
  • Align team objectives with broader company goals, ensuring that projects are executed effectively and efficiently.
• AI/ML Strategy & Implementation:
  • Drive the development of scalable AI/ML solutions that support both operational and strategic goals at CookUnity.
  • Develop and implement machine learning models that improve customer personalization, operational efficiency, and data-driven decision-making.
  • Lead the integration and adoption of Large Language Models (LLMs) and Generative AI (GenAI) to enhance product features, improve customer experience, and accelerate business growth.
  • Stay at the forefront of emerging AI/ML technologies, including LLMs and GenAI, and apply relevant innovations to solve complex problems.
• Data Infrastructure & Architecture:
  • Oversee the architecture of CookUnity's data pipelines, ensuring they are robust, scalable, and efficient to support machine learning, analytics, and GenAI model deployments.
  • Manage the end-to-end lifecycle of data processing, including ingestion, storage, transformation, and analytics.
  • Collaborate with the infrastructure team to ensure data platforms are optimized for performance, reliability, and security.
• Collaboration & Cross-Functional Partnerships:
  • Work closely with product, engineering, and business teams to understand their data needs and deliver impactful solutions.
  • Drive the integration of embedded data engineering into core product development cycles.
  • Engage with senior leadership to align AI/ML strategies with broader company initiatives and business outcomes.
• Community & Knowledge Sharing:
  • Establish and nurture a community of AI/ML experts across CookUnity to share best practices, solve challenges, and promote innovation.
  • Spearhead internal forums, workshops, and seminars to accelerate the adoption of LLMs and GenAI, ensuring that team members are up to speed with new technologies and trends.
  • Foster a culture of continuous learning and ensure the team is equipped to leverage the latest advancements in AI/ML.
• Reporting & Analytics:
  • Define and implement key performance indicators (KPIs) to track the success of AI/ML and GenAI solutions.
  • Present regular updates to the executive team, including the CTO, on project progress, challenges, and opportunities related to AI/ML and GenAI adoption.

• 10+ years of experience in AI/ML, data engineering, or related fields, with at least 3 years in a leadership role.
• Proven experience leading cross-functional teams in an agile environment, with a strong ability to balance technical execution and strategic vision.
• Expertise in machine learning algorithms, data pipelines, and AI/ML model deployment at scale.
• Solid understanding of Large Language Models (LLMs) and Generative AI (GenAI), and how to integrate these technologies into business operations.
• Strong understanding of cloud technologies (AWS, GCP, Azure) and modern data stack solutions (e.g., Apache Kafka, Snowflake, Redshift).
• Deep knowledge of data engineering best practices, including ETL processes, data warehousing, and data governance.
• Strong communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders.
• Ability to drive change, inspire innovation, and foster a collaborative and results-driven team environment.

• Experience with embedded data engineering, working closely with product development teams.
• Familiarity with data privacy and security regulations (e.g., GDPR, CCPA).
• Background in food-tech, consumer goods, or related industries.

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect!