AI Product Engineer Internship

Angel Host

. Build, validate, and ship products across Sentinel and Angel Host using AI-assisted development .

Posted 11/9/2026full-timeMontreal • CanadaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates hands-on software development experience with AI-assisted development tools, strong web development fundamentals in React and TypeScript, and the ability to translate business needs into structured specifications. Proficient in diagnosing and resolving bugs while contributing to QA and test automation processes.

Highest-signal resume keywords

AI-Assisted DevelopmentReact DevelopmentTypeScript DevelopmentSQL KnowledgeBug Diagnosis and Resolution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentWeb DevelopmentSQLAI ToolsTest AutomationData VisualizationFeature RolloutBug TrackingDashboardsIntegrations

Soft Skills

Clear CommunicationJudgmentProblem-SolvingCollaborationAdaptability

Tools & Technologies

Claude CodeCursorLovableZapierHubSpotPostgresSupabase

Industry Keywords

Revenue ManagementShort-Term RentalsHospitalityAI CapabilitiesOperational Reports

Tech Stack

Tools & technologies

PostgresReactSQLSwitchingTypeScript

About the role

Key responsibilities & impact

Build, validate, and ship products across Sentinel and Angel Host using AI-assisted development
Build and refine features for the Sentinel revenue intelligence platform
Reproduce, diagnose, and resolve bugs; write clear technical tickets
Support feature rollouts from validation through release
Contribute to QA and test automation
Help define and iterate on reporting and data visualization dashboards
Maintain, fix, and improve the CRM and Client Hub built in Lovable
Build and maintain Zapier workflows and HubSpot automations feeding operational reports
Support smaller initiatives, integrations, and migrations
Translate business needs into structured prompts and specifications
Follow the plan-review-before-execution methodology
Document product behavior and strengthen the internal knowledge base
Develop fluency in Sentinel and Angel Host business operations
Research emerging AI capabilities, including Skills, Connectors, MCPs, and Agents, and present findings to the team
Report to the Chief Product Officer and collaborate with the AI Product Engineer, IT Development Team, CEO, and COO
Triage, reproduce, and resolve issues independently
Deliver production features and fixes reviewed and approved within the company protocol

Requirements

What you’ll need

Must be registered as a student at a recognized Canadian post-secondary institution (university, college or CEGEP)
Must have started the program before the internship begins
Must be studying software engineering, computer science, or a related field
Must be a Canadian citizen, permanent resident, or person with protected refugee status under the Immigration and Refugee Protection Act
Must be legally entitled to work in Canada and have a valid Social Insurance Number
International students on a study permit are not eligible
Must be based in Montreal, Quebec
Availability for a hybrid schedule in Montreal
Hands-on software development experience through school projects, an internship, or personal projects
Practical experience with AI-assisted development tools such as Claude Code, Cursor, or Lovable
Judgment to review, test, and correct AI-generated output
Web development fundamentals, ideally React and TypeScript
Basic knowledge of SQL and relational databases; Postgres or Supabase is a plus
Ability to reproduce, diagnose, and clearly explain bugs
Ability to turn loosely defined needs into clear plans before building
Clear written and verbal communication in English, including presenting research and recommendations
Comfort working across Sentinel and Angel Host while switching context
Nice-to-have experience with Zapier, HubSpot, third-party API integrations, QA, test automation, data, dashboards, analytics, or machine learning
Familiarity with revenue management, short-term rentals, or hospitality is a plus

Benefits

Comp & perks

Paid internship
Hands-on mentorship from the Chief Product Officer
Hybrid work between the downtown Montreal co-working space and the employee’s own space
Access to AI tools including Claude Code and Cursor
Potential internship extension or future full-time role
Work-integrated learning placement
35 hours per week, or 20 to 25 hours if availability is limited, adjusted to academic schedule