483 AI Engineer jobs in Canada

Job Description

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. Our platforms such as Lumina (video), Panorama (LMS accessibility), EqualGround (governance), and Verity (proctoring) are rigorously tested for compliance, audited, and secured.

For over a decade, YuJa has been dedicated to building not only innovative digital compliance and accessibility solutions, but also a workplace where our people can thrive. We invest in our employees by fostering career growth, continuous learning, and opportunities for advancement. Our culture is rooted in collaboration, inclusivity, and belonging, where every team members contributions are valued and their voices are heard. Just as we help institutions and organizations worldwide achieve their goals, we are equally committed to supporting the success of our people and making a positive impact in the communities we serve.Meet the YuJa family hereand see what makes YuJa special!

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

Job Description

Salary: $90,000-$130,000

As an AI Engineer, you will work as part of a small, autonomous, agile team to deliver both internal and external applications; built on a modern hybrid cloud platform. You will create high quality products which are scalable, testable, and extensible and provide high value to our customers. This is an exciting opportunity for an individual who is looking to bring their passion for tech into the construction space!

Biiibo Inc. is a fast-growing start-up and market leader in the on-demand delivery service for construction materials and supplies space. Since our launch in early 2020, our team has grown from 10 employees to 90 in less than a year! With proven success in the industry and nolimitingrunway, we are growing exponentially and were looking for driven challenge-seekers to join our team!

A day in the life:

• Design, develop, and deploy machine learning models that enhance mobile apps through predictive analytics, demand forecasting, and personalized experiences. Create innovative, data-driven solutions.
• Write production-ready code to train and integrate AI models into mobile apps. Optimize these models to ensure they are scalable, reliable, and efficient in a mobile-first environment.
• Build and optimize data pipelines for seamless real-time processing. Ensure efficient data flow into AI models to power mobile applications with real-time insights.
• Work closely with engineering and product teams to integrate AI solutions into mobile apps effectively. Foster collaboration to ensure successful deployment of new features.
• Set up tools and frameworks to monitor AI model performance in real time. Regularly assess and refine models to maintain accuracy and effectiveness, ensuring consistent improvement of app performance and user experience.
• Maintain clear documentation for all AI models, data pipelines, and integration processes. Foster knowledge-sharing and best practices to keep the team's AI work well-documented and reproducible.

Basic Qualifications:

• 3+ years of professional software development experience
• 3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of mobile apps and AI/ML systems.
• Programming experience in Kotlin for Android and Swift for iOS is a plus
• Demonstrated understanding of computer science fundamentals (algorithms, data structures, networking, distributed systems) and their application in mobile development and AI/ML.
• Experience and expertise in system and software design, including integrating AI/ML models and algorithms into mobile applications.
• Proficient in mobile development with languages such as Kotlin, Swift, Java, Python, JavaScript, and frameworks such as Node.js, with an understanding of mobile development best practices.
• Ability to write clean, maintainable, and testable code, and work with a cross-platform mobile development environment.
• Familiarity with backend development, cloud services (GCP, AWS), and deploying AI models into mobile applications.

Preferred Qualifications:

• BE /B Tech in Computer Science or related degree (Master's or Ph. D. preferred) along with 3+ years of relevant experience
• Proficiency in object oriented programming in Java, C#,C++, Python, Rails.
• Knowledge of Computer Science Fundamentals (data structures, systems design, algorithms, and problem solving).
• Proficiency in coding and designing multi-attribute based analytics system.
• Experience with MariaDB, Postgres, Docker, Django.
• Familiarity with Linux/Unix.
• Comfortable in fast-paced, start-up like development environments.

Equal Opportunity Employer

Biiibo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description

Job Description

About Maneva

Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.

Position Overview
We are seeking an AI Engineer to join our dynamic team. This role focuses on organizing and training new vision models for tasks such as classification, object detection, segmentation, setting up and integrating MLOps tools, monitoring model performance, and maintaining deployed models. The ideal candidate is passionate about bridging AI and software with impactful real-world use cases and thrives in a hands-on environment, and demonstrates eagerness to learn and excel in their role and beyond.

Main Responsibilities

• Develop and train vision-based AI applications for manufacturing, including classification, object detection, and segmentation tasks.
• Build and manage pipelines for deploying AI/ML models in production environments.
• Set up and integrate new tools to streamline and support MLOps workflows.
• Monitor and optimize the performance of deployed models, ensuring they meet operational requirements.
• Debug, troubleshoot, and update AI models as needed to maintain high reliability and performance.
• Collaborate with cross-functional teams to align AI applications with manufacturing requirements.
• Leverage cloud platforms (AWS, Azure, GCP) for scalable training compute and deployment solutions.
• Maintain and document processes to ensure reproducibility and operational excellence.
• May occasionally require to travel to customer sites to support integration and deployment efforts.

Requirements

Qualifications

• Education:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field.
• Relevant certifications or coursework in MLOps or AI model development is a plus.
• Experience:
• Experience in MLOps, AI/ML model development, or a related role.
• Hands-on experience with computer vision applications in real-world environments.
• Experience in data curation and vision model training and finetuning
• Experience working with manufacturing or industrial systems is a plus.
• Technical Skills:
• Proficiency in Linux, Python, Docker, Git, and Nvidia-based environments (CUDA, TensorRT) is a must.
• Familiarity with cloud platforms (AWS, Azure, GCP) for compute, storage, and AI services.
• Experience with CI/CD pipelines for ML models.
• Experience with MLOps tools.
• Experience with ARM devices such as Jetson or Raspberry Pi is a plus.
• Hands on experience training neural networks. Familiar with at least one of the following ML libraries: PyTorch, Tensorflow, Keras, SKlearn
• Knowledge of monitoring tools for deployed models and managing their lifecycle.
• Soft Skills:
• Strong problem-solving abilities and a proactive approach to challenges.
• Excellent project planning, communication and collaboration skills.
• Experience in front-facing engagement with customers is a plus.
• Ability to travel and hold a valid driver’s license is a plus.

Benefits

Why Join Maneva?

• Drive operational excellence in a fast-growing AI company transforming manufacturing through cutting-edge vision systems
• Shape the future of project delivery by building scalable processes for AI system deployments
• Work with world-class engineering talent while optimizing team performance and customer success
• Gain exposure to cutting-edge Vision AI & IoT solutions across diverse manufacturing environments
• Lead strategic initiatives that directly impact company growth and customer satisfaction
• Build expertise in the rapidly expanding field of industrial AI and autonomous manufacturing

Compensation & Benefits

• Competitive salary commensurate with experience
• Equity participation in a high-growth AI startup
• Comprehensive health, dental, and vision coverage
• Flexible PTO and professional development opportunities
• Remote-first culture with modern collaboration tools

Important Notice: Protecting Your Personal Information

We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.

If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at

Job Description

Job Description

Pay: CA$90,000.00 - CA$140,000.00 per year

Job description:

Job Summary
We are seeking a motivated and detail-oriented Engineering Intern to join our dynamic team. This offers a unique opportunity to gain hands-on experience in engineering projects while working alongside experienced professionals. The ideal candidate will be eager to learn and contribute to various aspects of engineering, including data analysis, machine learning, and software development.

Duties

• Assist in the development and implementation of engineering projects using programming languages such as Python, Java, and C.
• Participate in data mining and analytics tasks to extract valuable insights from large datasets.
• Support model training and deployment processes for machine learning applications, utilizing frameworks such as TensorFlow, Spark, and SAS.
• Collaborate with team members on database design and ETL processes to ensure efficient data handling.
• Engage in research related to quantum engineering and big data technologies.
• Contribute to the development of AI applications, focusing on natural language processing and unsupervised learning techniques.
• Utilize tools like AWS, Hadoop, Looker, and Talend for cloud computing and data visualization tasks.
• Document findings and present results to the engineering team during regular meetings.

Skills

• Proficiency in programming languages: Python, Java, C, R, and VBA.
• Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, Spark).
• Understanding of database design principles and SQL for data management.
• Experience with big data technologies such as Hadoop and analytics tools like Looker.
• Knowledge of ETL processes for data integration.
• Ability to work with linked data concepts and perform data mining tasks.
• Strong analytical skills with a focus on model training and deployment in AI applications.
• Basic understanding of Bash (Unix shell) for scripting tasks is a plus. This internship is designed for individuals looking to enhance their technical skills while contributing to innovative engineering solutions within our organization.

Job Type: Full-time

Job Description

Job Description

About Maneva

Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.

Position Overview
We are seeking an AI Engineer to join our dynamic team. This role focuses on organizing and training new vision models for tasks such as classification, object detection, segmentation, setting up and integrating MLOps tools, monitoring model performance, and maintaining deployed models. The ideal candidate is passionate about bridging AI and software with impactful real-world use cases and thrives in a hands-on environment, and demonstrates eagerness to learn and excel in their role and beyond.

Main Responsibilities

• Develop and train vision-based AI applications for manufacturing, including classification, object detection, and segmentation tasks.
• Build and manage pipelines for deploying AI/ML models in production environments.
• Set up and integrate new tools to streamline and support MLOps workflows.
• Monitor and optimize the performance of deployed models, ensuring they meet operational requirements.
• Debug, troubleshoot, and update AI models as needed to maintain high reliability and performance.
• Collaborate with cross-functional teams to align AI applications with manufacturing requirements.
• Leverage cloud platforms (AWS, Azure, GCP) for scalable training compute and deployment solutions.
• Maintain and document processes to ensure reproducibility and operational excellence.
• May occasionally require to travel to customer sites to support integration and deployment efforts.

Requirements

Qualifications

• Education:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field.
• Relevant certifications or coursework in MLOps or AI model development is a plus.
• Experience:
• Experience in MLOps, AI/ML model development, or a related role.
• Hands-on experience with computer vision applications in real-world environments.
• Experience in data curation and vision model training and finetuning
• Experience working with manufacturing or industrial systems is a plus.
• Technical Skills:
• Proficiency in Linux, Python, Docker, Git, and Nvidia-based environments (CUDA, TensorRT) is a must.
• Familiarity with cloud platforms (AWS, Azure, GCP) for compute, storage, and AI services.
• Experience with CI/CD pipelines for ML models.
• Experience with MLOps tools.
• Experience with ARM devices such as Jetson or Raspberry Pi is a plus.
• Hands on experience training neural networks. Familiar with at least one of the following ML libraries: PyTorch, Tensorflow, Keras, SKlearn
• Knowledge of monitoring tools for deployed models and managing their lifecycle.
• Soft Skills:
• Strong problem-solving abilities and a proactive approach to challenges.
• Excellent project planning, communication and collaboration skills.
• Experience in front-facing engagement with customers is a plus.
• Ability to travel and hold a valid driver’s license is a plus.

Benefits

Why Join Maneva?

• Drive operational excellence in a fast-growing AI company transforming manufacturing through cutting-edge vision systems
• Shape the future of project delivery by building scalable processes for AI system deployments
• Work with world-class engineering talent while optimizing team performance and customer success
• Gain exposure to cutting-edge Vision AI & IoT solutions across diverse manufacturing environments
• Lead strategic initiatives that directly impact company growth and customer satisfaction
• Build expertise in the rapidly expanding field of industrial AI and autonomous manufacturing

Compensation & Benefits

• Competitive salary commensurate with experience
• Equity participation in a high-growth AI startup
• Comprehensive health, dental, and vision coverage
• Flexible PTO and professional development opportunities
• Remote-first culture with modern collaboration tools

Important Notice: Protecting Your Personal Information

We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.

If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at

Pay: CA$90,000.00 - CA$140,000.00 per year

Job description:

Job Summary
We are seeking a motivated and detail-oriented Engineering Intern to join our dynamic team. This offers a unique opportunity to gain hands-on experience in engineering projects while working alongside experienced professionals. The ideal candidate will be eager to learn and contribute to various aspects of engineering, including data analysis, machine learning, and software development.

Duties

• Assist in the development and implementation of engineering projects using programming languages such as Python, Java, and C.
• Participate in data mining and analytics tasks to extract valuable insights from large datasets.
• Support model training and deployment processes for machine learning applications, utilizing frameworks such as TensorFlow, Spark, and SAS.
• Collaborate with team members on database design and ETL processes to ensure efficient data handling.
• Engage in research related to quantum engineering and big data technologies.
• Contribute to the development of AI applications, focusing on natural language processing and unsupervised learning techniques.
• Utilize tools like AWS, Hadoop, Looker, and Talend for cloud computing and data visualization tasks.
• Document findings and present results to the engineering team during regular meetings.

Skills

• Proficiency in programming languages: Python, Java, C, R, and VBA.
• Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, Spark).
• Understanding of database design principles and SQL for data management.
• Experience with big data technologies such as Hadoop and analytics tools like Looker.
• Knowledge of ETL processes for data integration.
• Ability to work with linked data concepts and perform data mining tasks.
• Strong analytical skills with a focus on model training and deployment in AI applications.
• Basic understanding of Bash (Unix shell) for scripting tasks is a plus. This internship is designed for individuals looking to enhance their technical skills while contributing to innovative engineering solutions within our organization.

Job Type: Full-time

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead AI Engineer
About Mastercard
Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are driving the future of commerce by enabling secure, simple, and smart transactions. Artificial Intelligence is at the core of our strategy to make Mastercard stronger and commerce safer, smarter and more personal.
The Role:
At Mastercard, we're building next-generation AI-powered platforms to drive innovation and impact. As an AI Engineer, you'll work with cutting-edge tools, large language models (LLMs), and emerging frameworks to develop intelligent systems. You'll collaborate with senior engineers, data scientists, and product teams-gaining hands-on experience while contributing to real-world AI solutions.
You'll help implement Agentic AI systems, develop backend services, and explore new AI capabilities. Your focus will include prompt engineering, guardrail design, and experimentation to ensure safe, scalable, and effective AI applications.
Key Responsibilities:
-  Develop and enhance AI agents and backend systems for Mastercard's AI platform
-  Evaluate LLMs and emerging technologies to identify innovation opportunities
-  Design and optimize prompts for LLMs
-  Implement safeguards to ensure secure, ethical AI responses
-  Build APIs, microservices, and data integrations for AI features
-  Write clean, maintainable code following industry best practices
-  Stay current with advancements in AI and software engineering
All About You:
-  Basic understanding of AI/ML concepts and enthusiasm for generative AI
-  Experience with Python and backend frameworks (e.g., FastAPI, Flask, Node.js)
-  Knowledge of REST APIs and cloud platforms (AWS, Azure, GCP)
-  Strong analytical skills and curiosity for exploring new AI capabilities
-  Collaborative mindset and openness to feedback and mentorship
-  Interest in prompt engineering, AI safety, and scalable deployment
Why Join Us?
At Mastercard, you'll help shape the future of AI in global commerce-solving complex challenges at scale, driving financial inclusion, and reinforcing the trust and security that define our brand. You'll work with world-class talent, cutting-edge technologies, and will make a lasting impact.
#AI1
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior AI Engineer
About Mastercard
Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are driving the future of commerce by enabling secure, simple, and smart transactions. Artificial Intelligence is at the core of our strategy to make Mastercard stronger and commerce safer, smarter, and more personal.
Role Overview
At Mastercard, we are building the next generation of AI-powered platforms that drive innovation, efficiency, and impact. As a Senior AI Engineer, you will work hands-on with cutting-edge AI tools, large language models (LLMs), and emerging frameworks to develop intelligent systems that power our platform. You'll collaborate closely with senior engineers, data scientists, and product teams-learning from experts while contributing to real-world AI applications.
You will be responsible for implementing Agentic AI systems, developing backend services to support them, and experimenting with new AI capabilities. You will also focus on prompt engineering, guardrail design, and running experiments to ensure safe, effective, and scalable AI solutions.
Key Responsibilities
- Agentic AI Development - Build and enhance AI agents and backend systems that power Mastercard's AI platform.
- Experimentation & Evaluation - Test and evaluate new LLMs, emerging AI technologies, and frameworks to identify opportunities for innovation.
- Prompt Engineering - Design, refine, and optimize prompts for LLMs to achieve desired outputs.
- Guardrail Development - Implement safeguards to ensure AI responses are accurate, secure, and aligned with ethical guidelines.
- Backend Engineering - Contribute to the development of APIs, microservices, and data integrations for AI-powered features.
- Best Practices in Software Development - Write clean, maintainable, and well-documented code following industry standards.
- Continuous Learning - Stay current with the latest developments in AI, LLMs, and software engineering best practices.
About You
- Strong hands-on experience with AI/ML concepts, with a passion for working with LLMs and generative AI.
- Professional hands-on experience with Python and backend development frameworks (e.g., FastAPI, Flask, Node.js).
- Understanding of REST APIs and cloud environments (AWS, Azure, or GCP).
- Strong problem-solving and analytical skills, with curiosity for exploring new AI capabilities.
- Comfortable working in a collaborative environment and open to feedback and mentorship.
- Eagerness to learn prompt engineering, AI safety/guardrail development, and large-scale AI deployment.
Why Join Us?
At Mastercard, you'll help shape the future of AI in global commerce-solving complex problems at scale, enabling financial inclusion, and ensuring the security and trust that define our brand.
#AI1
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Job Description

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.

Join Our Mission

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.

Your Impact & Responsibilities

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.

What You Bring

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

Why Join Us?

• 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.

Our Hiring Process

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)

Ready to Make an Impact?

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.