Creative Artisans of Emotions
AI Engineer
Location
Canada
Posted
46 days ago
Salary
$80K - $100K / year
Seniority
Senior
Job Description
AI Engineer
Martell Mumm Perrier-Jouët
• Data Ingestion & Normalization: Plug into bank feeds (Plaid), accounting software (QuickBooks/Xero), and payment processors (Stripe/Shopify). • AI-Powered Categorization: Deploy agents to analyze, classify, and map transaction data to specific clients, product lines, and regions. • Conversational Intelligence: Enable founders to query their financial data using natural language (LLM-driven intent detection). • Real-Time Projections: Calculate cash burn, runway, and margin analysis using live data streams. • Automated AR/AP Engine: Build proactive monitoring systems that trigger automated reminders, escalating collections, and pre-approved payment workflows. • Design and Implement Scalable Services: Build robust backend logic for financial data processing using TypeScript and Node.js. • Integrate 3rd Party APIs: Deeply integrate with Stripe, Shopify, QuickBooks, Xero, and banking APIs to ensure seamless data flow. • Build AI Workflows: Implement agentic frameworks (Google Agent SDK, Vercel AI SDK) for automated bookkeeping and debt collection. • Optimize Financial Logic: Develop and refine algorithms for cash flow forecasting, margin analysis, and profitability mapping. • Full-Stack Ownership: Work across frontend and specialized backend microservices to ship user-facing features quickly. • Troubleshoot & Refactor: Pick up existing code, identify bottlenecks, and refactor for efficiency and abstraction.
Job Requirements
- 5+ years of experience as a Full-stack or Backend-heavy Engineer.
- You’ve built and worked on end-to-end saas, AI, fintech platforms covering all areas of the system
- AI-First Mindset: You live the 10/80/10 principle (10% paper/brainstorming, 80% AI generation, 10% human refinement).
- Problem Solver: You don’t just write code; you solve hard problems with creative human input.
- Fast Shipper: You thrive on seeing your code in production quickly and aren’t precious about “perfection” over “progress.”
- Team Player: You understand the impact of others relying on you and value proactive communication/syncing.
- Detail-Oriented: You think ahead about the impact of small mistakes in financial data environments.
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Role Description Dans le cadre de la structuration de la direction Data, tu occupes un rôle clé en tant que Lead Data Platform & Strategy. A ce titre, tu assures la coordination entre les équipes métiers, les experts data locaux (Data Analytics, Data Science, BI & Dataviz) et les équipes plateforme du groupe. - Es l’interface stratégique entre le Groupe et les équipes locales : - Traduire les besoins métiers en cas d’usage data priorisés et actionnables - Orienter les évolutions de la plateforme data avec les équipes groupe - Adapter les standards et solutions groupe aux enjeux business locaux - Garantir l’alignement entre la roadmap groupe et les priorités de l’entreprise - Contribues à la structuration de la plateforme et des modèles de données : - Participer à la définition des architectures & modèles de données cibles - Challenger les choix techniques et garantir la robustesse des solutions - Identifier et résoudre les points de friction techniques - Contribuer à la qualité et à la conformité des données - Pilotes la roadmap data et son delivery : - Co-construire et piloter la roadmap data & IA en cohérence avec les priorités business - Structurer et maintenir un backlog clair et partagé - Mettre en place des méthodes de delivery efficaces (agile, priorisation par la valeur, suivi) - Coordonner les travaux entre les différents pôles et expertises Data - Contribues à la stratégie data & IA : - Participer à la définition de la vision, des orientations et priorités Data & IA - Identifier, prioriser et superviser les initiatives et projets techniques à fort impact business - Exerces un leadership transverse & accompagnes les équipes : - Fédérer, animer et accompagner les équipes data autour de standards communs de qualité, gouvernance et delivery, avec ou sans lien hiérarchique direct - Être un point de référence sur les sujets data transverses Qualifications - Expérience confirmée (7 à 10 ans) dans des fonctions liées à la data, idéalement acquise dans des environnements complexes et multi-enseignes - Bonne maîtrise des architectures data modernes (cloud, data lakehouse, modern BI) ainsi que des enjeux de qualité, gouvernance et valorisation des données - Solides compétences en structuration de roadmap, backlog et processus de delivery - Capacité à fédérer les équipes data, tech et métiers autour d’une vision et d’objectifs communs - Orientation business et sens de la priorisation par la valeur - Anglais courant, indispensable pour des interactions quotidiennes avec nos équipes basées au Royaume-Uni Benefits - Mutuelle et prévoyance - Restaurant et snack d'entreprise - Espaces verts de détente - Offres du Comité Social et Economique - Tickets restaurant et carte de réduction sur les produits vendus en magasin après trois mois de présence
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At OZ, we are currently looking for a Conversational AI Developer to design and build enterprise‑grade chat and voice solutions using Microsoft Copilot Studio and Microsoft 365 Agents SDK. This role focuses on creating secure, scalable conversational experiences integrated with backend systems and channels like WhatsApp and voice, within a regulated, enterprise environment. Responsibilities: · Design, develop, and maintain enterprise grade conversational AI solutions across chat and voice channels · Build conversational agents using Microsoft 365 Agents SDK and Copilot Studio, following enterprise design standards · Design deterministic conversational flows with intent handling, dialog orchestration, and business-rule enforcement · Implement Generative AI fallback strategies in a controlled and compliant manner · Integrate conversational agents with backend systems using RESTful APIs (JSON) via Azure API Management (APIM) · Integrate Azure AI Speech Services (Speech-to-Text) to support voice-enabled conversational workflows · Implement WhatsApp-based conversational solutions using Twilio (BSP), including text, audio, and document handling · Collaborate closely with integration and backend teams to ensure end-to-end workflow orchestration · Support unit testing, integration testing, and UAT for conversational workflows · Optimize conversational performance through prompt tuning, context management, and flow refinement
Conversational AI Developer
OZA leading consulting company whose Intelligent Automation expertise accelerates the way you do business.
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