AI Fullstack Engineer (Senior Associate)
Quick Summary
Leading sprint activities, including planning, defining clear Definition of Ready and Definition of Done criteria, coordinating with business and product owners, conducting demos,
Leading sprint activities, including planning, defining clear Definition of Ready and Definition of Done criteria, coordinating with business and product owners, conducting demos,
Join a collaborative AI engineering team building innovative, enterprise-ready applications that bring advanced AI solutions into real-world business environments. As a Fullstack Engineer, you will work across frontend and backend development, creating intuitive interfaces, robust APIs, and integrations that connect AI workflows with enterprise systems. You will collaborate with AI Engineers, Platform Engineers, Solution Architects, and client teams to deliver secure, scalable, production-ready solutions. The role combines hands-on engineering with technical ownership, agile delivery, and rapid prototyping. You will also contribute to reusable tools and frameworks that improve development efficiency across consulting teams. This is a remote opportunity open to candidates across Canada, with travel as needed.
You will take ownership of full-stack development initiatives, translating business requirements into reliable applications and supporting solutions from initial concept through production deployment. Your responsibilities will include:
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Leading sprint activities, including planning, defining clear Definition of Ready and Definition of Done criteria, coordinating with business and product owners, conducting demos, and managing production handoffs.
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Designing and building full-stack applications that support AI and analytics solutions.
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Developing reusable tools, frameworks, and components that improve solution delivery across consulting teams.
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Building intuitive frontend interfaces using React, JavaScript, TypeScript, or comparable technologies.
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Developing robust backend services and APIs using Python frameworks such as FastAPI, Django, or Flask.
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Integrating applications with data sources, external systems, and enterprise workflows.
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Implementing secure authentication, data management, and system integrations across cloud environments, including Azure and AWS.
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Ensuring seamless frontend and backend integration and delivering complete, production-ready features.
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Applying DevOps and CI/CD practices to support deployment, monitoring, testing, and application maintainability.
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Collaborating with technical and non-technical stakeholders to understand workflows, clarify requirements, and translate business needs into effective technical solutions.
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Rapidly prototyping, testing, and refining solutions with cross-functional teams.
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Taking independent ownership of technical initiatives and driving implementation in a fast-paced, evolving environment.
Requirements
~1 min readThe ideal candidate is an experienced full-stack engineer with strong frontend and backend development capabilities, practical exposure to AI-assisted engineering tools, and the ability to deliver reliable enterprise applications. The following qualifications are expected:
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4+ years of professional experience in full-stack software development.
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Strong proficiency in React and JavaScript/TypeScript.
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Experience developing backend applications and APIs using Python.
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Hands-on experience with agentic engineering tools and IDEs such as Cursor, Claude Code, Codex, or similar solutions in day-to-day development.
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Experience working with Agile and Scrum methodologies, including sprint-based delivery.
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Familiarity with cloud platforms such as Azure or AWS.
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Experience with containerization technologies, particularly Docker and Kubernetes.
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Understanding of CI/CD pipelines, software testing, DevOps, and secure development practices.
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Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
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Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
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Ability to manage shifting priorities, navigate ambiguity, and deliver results in a fast-paced environment.
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Strong ownership, problem-solving, and rapid prototyping capabilities.
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Experience translating business workflows or operational challenges into technical solutions.
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Previous experience building enterprise applications or integrating AI-powered workflows into existing systems.
What We Offer
~1 min readLocation & Eligibility
About this job
- Pay per year
- CA$115,000–CA$140,000 a year
- Who can apply
- Canada
- Posted
- Today
Listing Details
- Posted
- November 2, 2026
- First seen
- November 2, 2026
- Last seen
- November 2, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 80%
- Scored at
- November 2, 2026
Signal breakdown
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