This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Experience Engineer based in Canada.
This is a full-stack engineering role focused on creating intuitive, trustworthy experiences for AI-powered and agentic systems.
You will own the human-facing layer of AI solutions, connecting data models, backend services, APIs, and polished user interfaces.
Your work will help engineers, analysts, business leaders, and other stakeholders understand, inspect, and interact with autonomous AI systems.
You will shape observability patterns that allow people to review agent behavior and intervene when needed without becoming a bottleneck in every workflow.
The role combines software engineering, UX thinking, design systems, accessibility, and AI product development.
You will contribute reusable components and interaction standards that can support AI assistants, copilots, and future enterprise AI capabilities.
Success means turning technically sophisticated AI capabilities into experiences that are clear, useful, accessible, and trusted by their users.
Accountabilities:
- Own full-stack delivery: Take Innovation Crew concepts from initial brief or wireframe through backend services, API integrations, data connections, and polished production-quality interfaces.
- Build AI interaction experiences: Design and implement intuitive interfaces for AI-powered systems, ensuring outputs, interactions, and workflows are understandable to both technical and non-technical users.
- Develop human-on-the-loop experiences: Create interfaces that allow users to inspect agent traces, review outputs, adjust parameters, identify anomalies, and intervene when necessary without requiring human approval at every stage.
- Build a shared design system: Develop and maintain reusable components for AI experiences, including streaming outputs, agent status indicators, progress views, trace inspection, confidence displays, and human-review workflows.
- Define AI interaction standards: Establish reusable UX patterns for contextual AI assistance, real-time knowledge retrieval, AI-generated content, intelligent dashboards, and agent-based experiences.
- Improve usability through research: Conduct lightweight user research and usability testing with internal stakeholders and business partners, incorporating feedback early into product and experience decisions.
- Enable AI observability: Collaborate with AI engineering teams to create evaluation interfaces and observability dashboards that make model behavior and agent traces understandable to human reviewers.
- Champion accessibility and performance: Apply WCAG accessibility standards and performance engineering practices across deliverables while maintaining consistency with applicable brand and product guidelines.
- Evaluate emerging technologies: Contribute to frontend and UX technology evaluations and help establish architectural recommendations and reusable patterns for AI interaction.
- Support knowledge sharing: Document successful interaction patterns and reusable components so they can be adopted by broader engineering and product teams.
- Deliver executive-ready experiences: Ensure prototypes and solutions presented to leadership or external stakeholders are visually consistent, accessible, compelling, and immediately understandable.
Requirements
- Full-stack engineering experience: Demonstrated ability to build backend services, integrate data sources and APIs, and deliver polished frontend experiences within the same development cycle.
- AI product experience: Production experience with AI-powered systems, particularly streaming interfaces, agent interactions, human-review workflows, trace inspection, or similar AI experience patterns.
- Frontend expertise: Strong experience with React or an equivalent modern frontend framework, combined with the ability to design and implement modern design systems.
- Design-to-code capability: Comfortable moving between tools such as Figma and production code, with strong UX instincts and the ability to independently translate interaction concepts into working experiences.
- AI systems understanding: Strong understanding of the non-deterministic nature of LLM-powered systems and the importance of designing for observability, inspection, evaluation, and human intervention.
- Agent observability: Experience with tools such as Langfuse, LangSmith, Phoenix, Arize, or equivalent platforms is highly valued.
- Data visualization: Ability to present complex data and system information clearly to non-technical audiences.
- Accessibility: Knowledge of WCAG standards and experience applying accessibility principles to digital products.
- AI evaluation: Familiarity with evaluation harnesses, LLM-as-judge approaches, or other methods for assessing the quality and reliability of agentic systems is a plus.
- Product thinking: Strong product intuition and the ability to start with user needs and desired outcomes when deciding how AI capabilities should be surfaced.
- Communication and collaboration: Strong ability to work across engineering, design, product, and business teams and communicate complex technical concepts clearly.
- Trust and quality mindset: A strong understanding that AI interfaces must make system behavior understandable and trustworthy rather than simply presenting successful demonstrations.
Benefits
- Competitive compensation: Starting salary range of $130,000–$160,000 USD or $115,000–$130,000 CAD per year, depending on skills, experience, qualifications, performance, business needs, and location.
- Remote flexibility: Fully remote opportunity available to professionals based in Canada.
- High-impact AI work: Build production-quality experiences for emerging AI assistants, copilots, and agentic systems.
- Technical ownership: Significant opportunity to influence AI interaction patterns, observability standards, design systems, and engineering practices.
- Innovation-focused environment: Work on emerging technologies where experimentation, practical problem-solving, and continuous improvement are encouraged.
- Cross-functional collaboration: Partner with engineering, AI, product, and business stakeholders on highly visible initiatives.
- Inclusive workplace: Join an environment committed to diversity, equal opportunity, collaboration, and respect.
- Accessibility support: Recruitment accommodations are available for qualified candidates who require them.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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