Carrière
Nous concevons des systèmes d'IA qui fonctionnent dans le monde réel, de la logistique industrielle et de l'infrastructure de données de conformité écologique à l'automatisation des processus d'entreprise. Notre équipe fait travailler humains et IA en parallèle, pour avancer vite sans rien négliger. Si vous voulez travailler sur des projets qui comptent vraiment à grande échelle, vous êtes au bon endroit.
Culture
- Nous croyons qu'il faut agir pendant que le café est encore chaud
- Passionné d'ingénierie de l'IA, de systèmes de données ou d'applications industrielles?
- Vous êtes à l'aise dans un tourbillon de créativité?
Rôle
- Plongez dans des projets qui font de vous un développeur complet
- Collaborez avec des compagnons IA pour repousser les limites du « possible »
- Portez votre chapeau de créatif toute la journée et voyez où cela vous mène
Avantages
- Vivez une nouvelle aventure chaque jour
- Donner à votre créativité le pouvoir de concrétiser vos idées
- La liberté d'expérimenter, d'échouer, d'apprendre et d'avancer vite
Postes ouverts
Connectez-vous ou créez un compte pour postuler.
Postes sénior
Forward Deployed EngineerFull-time · Hybrid / client sites · Mississauga · From CAD $110,000 a year
Work on site with clients to turn a real operational problem into an AI system that runs in their business. You scope it, build it, connect it to the systems they already have, and stay until their team can run it.
Ce que vous ferez
- Sit with client teams to map how the work is really done, and where AI should and should not be used.
- Build working pilots quickly against real data, and connect them to systems such as CRM, ERP and spreadsheets.
- Take pilots through to production: permissions, human approval steps, logging and acceptance against agreed measures.
- Hand over source code, documents and training so the client team can take over.
- Bring what you learn in the field back to the product and R&D teams.
À propos de vous
- 5+ years building production software, with strong Python or TypeScript.
- Hands-on experience shipping LLM applications, agents or data pipelines to real users.
- Comfortable in front of clients: you can explain trade-offs to an operations manager and a CTO alike.
- Willing to travel to client sites.
- Fluent English; Mandarin is a strong plus.
Ce que vous obtenez
- Direct ownership of client outcomes, from first meeting to go-live.
- Exposure to logistics, finance, manufacturing and vision projects.
- A clear path to leading delivery across several clients.
Business Development & Solutions LeadFull-time · Hybrid · Mississauga · From CAD $90,000 a year
Be the person who explains what Volckano does. You present to companies, train their teams to understand AI and how we deliver it, and turn those conversations into real projects.
Ce que vous ferez
- Present Volckano to business owners, executives and industry groups, in meetings and on stage.
- Run training sessions that help businesses understand what AI can do in their operations, using our real delivered projects.
- Find the specific problem worth solving first, and shape it into a scoped pilot with the delivery team.
- Build and look after relationships with clients, partners and industry associations.
- Write the proposals, case materials and talks that explain our work clearly.
À propos de vous
- 5+ years in business development, solutions consulting or a client-facing technical role.
- Excellent presenter and teacher: you make technical work clear to non-technical people.
- Enough technical understanding to know what AI can and cannot do, and to say so honestly.
- Fluent English and Mandarin.
- Comfortable working across Canada, China and Hong Kong.
Ce que vous obtenez
- Work directly with the founders on how the company presents itself.
- Speak at events and lead training across our markets.
- Real say in which projects we take on.
Senior AI Application DeveloperFull-time · Remote / Hybrid · Mississauga · From CAD $110,000 a year
Build the AI applications our clients and products run on: agents, workflow automation, document and data tools, and the interfaces people use them through.
Ce que vous ferez
- Design and build AI applications end to end, from backend and model integration to the interface.
- Build agents and tool integrations with clear permissions, approval steps and execution records.
- Evaluate models and prompts against real data, and keep cost and latency under control.
- Write tests and evaluation sets so results can be checked, not assumed.
- Review code and raise engineering standards across the team.
À propos de vous
- 5+ years of full-stack development with TypeScript, Node.js, React or Next.js, and Python.
- Production experience with LLM APIs, retrieval, agents or similar.
- Solid databases and cloud deployment.
- Care about reliability, security and handing over clean work.
Ce que vous obtenez
- Work on real products and client systems rather than demos.
- Freedom to choose the right tools for the job.
- Direct contact with the people who use what you build.
Applied AI R&D EngineerFull-time · Remote / Hybrid · Mississauga · From CAD $110,000 a year
Research and prototype what we will deliver next: custom model training, computer vision, and reliable AI workflows. Your work has to end up usable in real projects.
Ce que vous ferez
- Track new models and methods, and test which ones hold up on our real problems.
- Train and fine-tune models on client data, including vision, forecasting and document models.
- Build evaluation methods and datasets that show whether a change really helps.
- Turn successful research into components the delivery teams can reuse.
- Write up findings clearly, for the team and for publication.
À propos de vous
- Graduate degree in machine learning or a related field, or equivalent applied experience.
- Strong Python and PyTorch, with hands-on training and evaluation experience.
- Experience deploying models, including on local hardware, is a strong plus.
- Honest about results, including the ones that did not work.
Ce que vous obtenez
- Research time tied to real data and real deployments.
- Access to GPU resources and real production feedback.
- Your work can be published under the Volckano name where clients allow it.
AI Solutions Architect & Delivery LeadFull-time · Hybrid · Guangzhou · From RMB 30,000 a month
Lead delivery across several client projects: set the technical approach, keep scope and quality honest, and make sure what we hand over can be run by someone else.
Ce que vous ferez
- Own the architecture of client systems, from data and integration to AI components and deployment.
- Plan delivery in stages, each with measures the client can check.
- Lead engineers across projects, and review their work.
- Manage risks around data, privacy and compliance with clients and partners.
- Say early when something should not be built, or when rules or people would do it better.
À propos de vous
- 8+ years in software engineering, with several years leading delivery.
- Experience integrating with enterprise systems such as ERP and CRM.
- Practical experience delivering AI systems into production.
- Clear communicator in Mandarin and English.
Ce que vous obtenez
- Ownership of how projects are delivered across the group.
- Work across industries and markets.
- A senior voice in hiring and technical direction.
Autres postes
Intern: Backend DeveloperIntern · Remote · Toronto · $19.7 par heure
Join Volckano as a Backend Developer Intern and work on real AI-powered systems — from data pipelines and carbon accounting APIs to enterprise automation platforms. This role is ideal for developers who want hands-on experience building the backend infrastructure behind intelligent, data-intensive applications.
Ce que vous ferez
- Develop and maintain backend web services using Node.js/TypeScript, building scalable and well-structured APIs.
- Design and implement database models using PostgreSQL or TimescaleDB for time-series and relational data.
- Create and maintain RESTful APIs handling data ingestion, transformation, and query operations.
- Write backend functions and business logic to process sensor data, energy records, and compliance data streams.
- Collaborate with frontend developers to integrate backend services with dashboard and reporting UIs.
- Ensure backend code follows best practices for security, scalability, and performance including proper error handling and logging.
- Perform regular code reviews and debugging to maintain code quality.
- Integrate third-party APIs including weather data providers, carbon emission factor services, and cloud storage.
- Work with DevOps pipelines to deploy services on cloud environments such as AWS or Google Cloud.
- Participate in full development lifecycle including requirements gathering, technical documentation, and sprint planning.
- Optimize query performance and address bottlenecks in data-heavy processing workflows.
- Maintain and update backend services to ensure compatibility with new dependencies and platform requirements.
À propos de vous
- Students or recent graduates with solid JavaScript/TypeScript knowledge.
- Familiarity with Node.js, Next.js, REST APIs, and SQL or NoSQL databases.
- Interest in data systems, AI applications, or environmental/energy tech is a strong plus.
- Understanding of server-side logic, API design, and cloud deployment basics.
- Team player with clear communication skills and willingness to learn.
Ce que vous obtenez
- Hands-on experience building real backend systems used in AI and data infrastructure projects.
- Exposure to green compliance data, time-series databases, and industrial IoT data pipelines.
- Opportunities for full-time employment and long-term career growth within the team.
Data Engineer — Time-Series & Sensor PipelinesContract · Remote · Mississauga · $45 par heure
Volckano is building the data infrastructure layer for a major floating offshore wind port project in Hainan, China. We are looking for a Data Engineer to design and maintain time-series data pipelines that ingest, store, and serve sensor data from port operations, weather monitoring systems, and energy storage assets. This is a core infrastructure role that powers multiple AI applications across the project.
Ce que vous ferez
- Design and build time-series data ingestion pipelines using Python, pulling from REST APIs including weather and meteorological data sources such as ECMWF Open-Meteo.
- Set up and maintain TimescaleDB or InfluxDB instances for storing high-frequency sensor and energy meter data.
- Write scheduled jobs (cron, Celery, or Airflow) to reliably fetch, validate, and store incoming data streams.
- Build query layers and internal APIs that downstream systems — including scheduling dashboards and carbon accounting engines — can consume.
- Work with the carbon accounting module to structure charge/discharge time-series records from energy storage systems.
- Implement data quality checks, anomaly detection, and alerting for missing or out-of-range sensor readings.
- Document data schemas, pipeline architecture, and API contracts so other engineers can build on the infrastructure.
- Collaborate with backend engineers and domain consultants to map physical sensor outputs to application data models.
- Support deployment of data services on cloud infrastructure using Docker and managed database services.
À propos de vous
- 2+ years of experience in data engineering, backend development, or a related field.
- Proficiency in Python with experience in data pipeline tooling (requests, pandas, SQLAlchemy, or similar).
- Hands-on experience with time-series databases such as TimescaleDB, InfluxDB, or similar.
- Solid understanding of PostgreSQL and SQL query optimisation.
- Experience consuming and integrating third-party REST APIs.
- Familiarity with Docker and cloud deployment (AWS, GCP, or equivalent).
- Bonus: experience in energy, environmental monitoring, maritime, or industrial IoT domains.
Ce que vous obtenez
- Work on foundational infrastructure powering AI applications for a nationally significant infrastructure project.
- Gain deep experience in industrial IoT, energy data, and environmental monitoring data systems.
- Long-term engagement opportunity as the project expands into port operations, carbon accounting, and vessel dispatch systems.
Carbon Accounting & MRV Systems DeveloperContract · Remote · Mississauga · $55 par heure
Volckano is building a Measurement, Reporting and Verification (MRV) carbon accounting system for a green methanol bunkering port and CATL energy storage assets in Hainan, China. This role sits at the intersection of environmental compliance and software engineering — you will build the calculation engine and data pipeline that turns raw energy measurements into auditable carbon records, green certificate issuance data, and regulatory submission documents.
Ce que vous ferez
- Build the core carbon calculation engine: read energy meter time-series data, apply GHG Protocol-compliant emission factors, and output CO2e intensity records per kWh or per tonne of fuel produced.
- Integrate with emission factor data sources including China's NDRC regional grid factors and third-party APIs such as Climatiq.
- Structure auditable carbon records with full traceability from raw input data through to final CO2e output, suitable for regulatory review.
- Generate CBAM (EU Carbon Border Adjustment Mechanism) carbon intensity declaration data packages for green methanol export to European shipping clients.
- Build a data preparation pipeline that formats verified green electricity generation records for submission to I-REC (International Renewable Energy Certificate) accredited issuers.
- Produce FuelEU Maritime GHG intensity pathway calculations for green methanol and green ammonia bunkering transactions.
- Design and build document generation templates that automatically populate ISCC+, CBAM, and RE100 compliance reports from underlying data records.
- Work alongside an ISCC EU regulatory consultant to ensure calculation methodologies meet certification requirements.
- Write comprehensive data schema documentation and calculation methodology notes suitable for external audit review.
À propos de vous
- 2+ years of software or data engineering experience, ideally with Python.
- Strong grasp of data modelling, calculation pipelines, and audit-trail design.
- Interest in or familiarity with carbon accounting, GHG Protocol, or environmental compliance frameworks.
- Experience with REST API integration and structured data output (JSON, PDF generation).
- Ability to read and interpret regulatory documents and translate requirements into software specifications.
- Bonus: experience with CBAM, FuelEU Maritime, ISCC+, I-REC, CCER, or renewable energy certificate systems.
- Bonus: familiarity with green hydrogen, green methanol, or maritime decarbonisation supply chains.
Ce que vous obtenez
- Work at the frontier of green compliance technology — a domain where very few software engineers currently have practical experience.
- Build systems that directly support China's first-mover green methanol bunkering port targeting international shipping markets.
- Long-term opportunity as the platform expands to cover Port Asset Oracle, REITs data disclosure, and cross-border green certificate export across Southeast Asia.
Full-Stack Developer — Operations Dashboard & Dispatch PlatformContract · Remote · Mississauga · $48 par heure
Volckano is building port operations dashboards and a vessel dispatch management platform for a floating offshore wind mother port in Hainan, China. We need a full-stack developer to own the frontend and backend of data-dense operational interfaces — from weather window visualisations and berth scheduling grids to coral reef ESG reporting and green certificate compliance document generation.
Ce que vous ferez
- Build React/Next.js dashboard interfaces that display real-time and forecast data from the time-series data pipeline — including weather window status, berth availability, vessel schedules, and carbon intensity readouts.
- Develop a vessel dispatch scheduling interface: drag-and-drop berth assignment grid, departure window calendar, and integration with weather forecast data.
- Build automated PDF report generators for quarterly coral reef ESG reports, green certificate compliance packages, and CBAM carbon declaration documents.
- Design and implement backend API endpoints using Node.js/NestJS that serve processed data to the dashboard and receive schedule inputs from operators.
- Integrate with third-party data sources including weather APIs, satellite imagery endpoints, and energy management system data exports.
- Implement user authentication, role-based access control, and audit logging appropriate for multi-stakeholder government-adjacent systems.
- Collaborate with the data engineering team to ensure data flowing from time-series pipelines is correctly displayed and queryable in the dashboard.
- Optimise frontend performance for data-heavy table and chart components displaying high-frequency time-series readings.
- Support deployment of the application stack on cloud infrastructure with CI/CD pipeline integration.
À propos de vous
- 2+ years of full-stack development experience with React or Next.js on the frontend and Node.js on the backend.
- Experience building data dashboards, scheduling interfaces, or operational management tools.
- Comfortable working with chart libraries (Recharts, D3, or similar) and table-heavy data UIs.
- Strong understanding of REST API design, state management, and frontend performance optimisation.
- Experience with PDF generation libraries (Puppeteer, PDFKit, or similar).
- Familiarity with PostgreSQL or other relational databases.
- Bonus: experience in logistics, supply chain, port operations, or energy sector dashboards.
- Bonus: experience with MUI component library (our existing stack uses MUI and Next.js).
Ce que vous obtenez
- Own the user-facing layer of a real operational platform being deployed for a nationally significant infrastructure project in China.
- Work alongside data engineers and domain specialists building systems at the intersection of maritime operations, green energy, and AI.
- Long-term opportunity as the platform expands to include multi-port coordination, REITs disclosure dashboards, and cross-border green compliance reporting.
Computer Vision Engineer — Industrial AI Sorting SystemContract · Remote / On-site (China) · Guangzhou · $50 par heure
Volckano is developing an AI-powered machine vision system for an industrial manufacturing client in China. The system uses real-time object detection and tracking to classify and sort down feathers by quality grade on a high-speed production line, triggering pneumatic sorting actuators via GPIO/PLC output. We are looking for a Computer Vision Engineer who can build, train, and deploy YOLOv8-based detection models integrated with multi-object tracking and hardware control interfaces in a live factory environment.
Ce que vous ferez
- Train and fine-tune YOLOv8 object detection models on custom annotated datasets of down feather samples, optimising for accuracy and real-time inference speed on factory hardware.
- Build multi-object tracking pipelines using ByteTrack to maintain consistent object identity across frames on a moving conveyor belt.
- Develop and calibrate the GPIO and PLC trigger output layer that converts model classification decisions into real-time actuation signals for pneumatic sorting mechanisms.
- Design and manage the data labelling pipeline: define annotation guidelines, oversee labelling quality, and handle class imbalance strategies for subtle feather grade distinctions.
- Build image augmentation and preprocessing pipelines tailored to the challenging visual conditions of the factory environment — variable lighting, high-speed motion, and small target objects.
- Implement model quantisation and optimisation techniques (TensorRT, ONNX export) to achieve required inference latency on edge hardware.
- Define evaluation metrics and build reproducible experiment dashboards tracking mAP, F1 score, and per-class precision/recall.
- Integrate the vision system with the factory's existing camera network and conveyor control interface.
- Conduct on-site calibration runs and iterative model improvement cycles based on real production data.
- Document system architecture, model versioning, calibration procedures, and hardware wiring diagrams for client handover.
À propos de vous
- 2+ years of hands-on computer vision engineering experience with demonstrated deployment of object detection models in production environments.
- Strong proficiency in Python and deep familiarity with the Ultralytics YOLOv8 ecosystem.
- Experience with multi-object tracking algorithms, particularly ByteTrack or similar (DeepSORT, StrongSORT).
- Understanding of GPIO interfaces, PLC communication protocols, or industrial hardware trigger systems — or willingness to learn quickly with technical support.
- Familiarity with model optimisation for edge deployment: TensorRT, ONNX, or equivalent.
- Experience managing custom annotation pipelines and working with small or imbalanced industrial datasets.
- Mandarin Chinese language ability is a strong advantage for on-site client collaboration.
- Bonus: prior experience in quality control vision systems, conveyor-based sorting, or manufacturing automation environments.
Ce que vous obtenez
- Own a complete end-to-end vision system from model training through to hardware integration and factory deployment.
- Gain rare hands-on experience at the intersection of deep learning, real-time edge inference, and industrial PLC/GPIO control systems.
- Direct pathway to further industrial AI and robotics engagements across Volckano's growing China manufacturing client base.
Commencez par un petit projet pilote.
Dites-nous la tâche. Nous vous dirons si elle vaut la peine d'être réalisée.