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Backend Ai Engineer Jobs in Kitchener, ON (NOW HIRING)

As a Senior AI Engineer, you will be responsible for Full-Stack Software Development i.e. building ... Strong hands-on experience with Python for backend development, API integration or AI-enabled ...

Your role As an AI Engineer on our Speech Team, you'll own the back-end implementation and linguistic optimization of the voice (TTS) layer for our next-generation AI agents. You'll work squarely ...

Your role As an AI Engineer on our Speech Team, you'll own the back-end implementation and linguistic optimization of the voice (TTS) layer for our next-generation AI agents. You'll work squarely ...

We are seeking a Senior FullStack AI Engineer to help shape how modern AIdriven software is built ... backend or fullstack experience. * Handson experience with cloud platforms (Azure preferred ...

You'll design interfaces between mobile apps, backend services, and IoT devices. Experience ... You'll help shape our firmware architecture, tooling, and standards, including how we use AI to ...

At Jetson, we value people who are excellent at their craft, curious about new tools (including AI ... You'll design interfaces between mobile apps, backend services, and IoT devices. Experience ...

As a Senior AI/ML Software Developer, you will enhance core functionality-such as flight scheduling ... At least seven (7+) years of professional software development experience using any modern backend ...

... collection, back end services and APIs, and the user interfaces on top of them. * Develop and ... Practical experience using AI coding assistants to improve engineering productivity, with the ...

... collection, back end services and APIs, and the user interfaces on top of them. * Develop and ... Practical experience using AI coding assistants to improve engineering productivity, with the ...

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Backend Ai Engineer information

What is a Backend AI Engineer?

A Backend AI Engineer is a software engineer who specializes in building and maintaining the server-side infrastructure for artificial intelligence applications. Their work involves designing APIs, integrating machine learning models, managing databases, and ensuring efficient data flow between systems. They collaborate with data scientists and frontend developers to deploy AI models at scale and make them accessible through robust backend services. Key skills for this role include programming (often in Python, Java, or similar languages), cloud computing, and knowledge of AI frameworks.

What are the key skills and qualifications needed to thrive as a backend AI engineer?

To thrive as a Backend AI Engineer, you need strong programming skills (especially in Python or Java), a deep understanding of algorithms and data structures, and a background in computer science or related fields. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), RESTful APIs, databases, and cloud platforms is typically expected, along with relevant certifications. Exceptional problem-solving abilities, teamwork, and effective communication are soft skills that distinguish top performers. These competencies are crucial for designing robust, scalable AI solutions that integrate seamlessly with backend systems and drive innovation.

What are some common challenges backend AI engineers face when deploying machine learning models to production?

Backend AI Engineers often encounter challenges such as ensuring model scalability, maintaining low latency, and handling diverse data inputs during deployment. Integrating models into existing backend systems can also require careful consideration of APIs, security, and resource management. Additionally, monitoring model performance and updating models with new data are ongoing responsibilities that require close collaboration with data scientists, DevOps, and product teams.

What is the difference between Backend Ai Engineer vs Data Scientist?

AspectBackend Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming, AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI into backend systems, collaborates with software teamsAnalyzes data, builds models, interprets data insights, collaborates with business teams
Industry UsageTech companies, AI startups, software firmsResearch institutions, tech companies, finance, healthcare
Common Search/ComparisonYesYes

While both roles involve working with AI and data, Backend Ai Engineers focus on integrating AI models into backend systems and developing scalable AI solutions. Data Scientists primarily analyze data, build predictive models, and generate insights. The roles often overlap in skills and tools but differ in their core focus—system integration versus data analysis.

What are popular job titles related to Backend Ai Engineer jobs in Kitchener, ON?

For Backend Ai Engineer jobs in Kitchener, ON, the most frequently searched job titles are:

What cities near Kitchener, ON are hiring for Backend Ai Engineer jobs?

Cities near Kitchener, ON with the most Backend Ai Engineer job openings:

Infographic showing various Backend Ai Engineer job openings in Kitchener, ON as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution.

Senior AI Engineer

Manulife

Waterloo, ON • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

As a Senior AI Engineer, you will be responsible for Full-Stack Software Development i.e. buildingmodern, cloud-based, and AI-enabled applicationsthat help Manulife make decisions easier and lives better.

You will contribute to thedesign, development, and delivery of scalable and secure enterprise applicationswhile integrating AI capabilities into business workflows. The role partners closely with engineers, product owner, cross-functional technology teams, risk and security partners, and business stakeholders to buildsecure, reliable, user-focused, and production-ready applicationsusing modern engineering practices across the Software Development LifeCycle (SDLC).

Position Responsibilities:

  • AI-Enabled Application Development

    • Design, build, and integrateAI-enabled and Generative AI features, following security, responsible AI, and enterprise governance practices.

    • Leadpractical AI application patterns including Large Language Models (LLMs), promptengineering, andorchestration, retrieval-augmented generation (RAG), semantic search, model evaluation, guardrails, and human-in-the-loop workflowsfor text-heavy and data-intensive enterprise use cases.

    Full-Stack Engineering & Delivery

    • Design, develop, test, and maintain full-stack applications including user interfaces, APIs, backend services, and integration layers for scalable enterprise applications with AI-enabled capabilities driving measurable outcomes.

    • Translatecomplexbusiness, risk, and operationalrequirements intosecure, scalable,maintainable, and measurabletechnical solutionsthat improve decision-making, productivity, automation, andbusinessvalue.

    • Establish and follow best engineering practices for AI-enabled application lifecycle management,performancemonitoring,value tracking,evaluation, and continuous improvement.

    • Collaborate with engineers, product teams, and stakeholders on design, code reviews, troubleshooting, documentation, and continuous improvement.

    Cloud, Architecture & Stakeholder Collaboration

    • Support the adoption of modern software engineering patterns, cloud-native practices with exposure to Microsoft Azure Cloud, API-driven architectures, and AI-enabled development approaches.

    Strategy, Governance & Risk Management

    • Contribute to AI and data strategy by identifying reusable engineering patterns, scalable AI assets, data enrichment opportunities, and practical modernization paths for enterprise application delivery.

    Act as a trusted technical contributor to business, technology, risk, security, and product leaders by influencing design patterns, clarifying blockers, and supporting delivery with clear technical expertise.

Required Qualifications:

  • 7 years of industry experience in full-stack application design and development such as frontend, backend, APIs, databases, integration layers, or cloud-based platforms, with at least 3 years of experience AI-enabled application delivery, preferably within financial services, insurance, risk,or highly regulated environment.

  • 3+ years of hands-on experience withGenerative and Agentic AI, including Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG),AI governance, and responsible AI practices.

  • Strong hands-on experience withPythonfor backend development, API integration or AI-enabled application workflows.

  • Strong experience building modern frontend and full-stack web applications usingReact JS.

  • Experience designing, building, and supportingREST APIs, backend services, microservices, and integration layersacross enterprise systems.

  • Experience working with relational databases such asAzure SQL and PostgreSQL including SQL query development, application integration, data modeling concepts, and support for data-driven application features.

  • Practical experience with cloud-based application development or support usingMicrosoft Azure.

  • Experience with CI/CD pipelines, secure coding practices and production support practices, including logging and monitoring capabilities

When you join our team:

  • We'll empower you to learn and grow the career you want.

  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

  • As part of our global team, we'll support you in shaping the future you want to see.

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$113,000.00 CAD - $163,000.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.