About Stay22
Basée à Montréal, Stay22 aide les créateurs ambitieux et les plateformes numériques à forte intention à transformer leur trafic existant en revenus additionnels, grâce à une technologie qui fonctionne discrètement en arrière-plan.
Aujourd’hui, plus de 6 500 créateurs et plateformes font confiance à Stay22, avec plus d’un milliard de dollars en transactions annuelles transitant par la plateforme. Initialement conçue pour le secteur du voyage, l’entreprise accompagne désormais des partenaires dans les domaines du commerce de détail, du lifestyle, de l’édition, des événements et du transport, alors qu’elle poursuit l’expansion de son infrastructure de monétisation pour l’économie moderne des créateurs.
Position overview
As a Senior Fullstack Developer on Stay22's Neuro team, you will design and build robust backend systems that power our AI/ML infrastructure. Neuro's mission is to design, develop, and maintain the Roam engine — our machine-learning redirect system — along with underlying services like ML pipelines, model hosting, and gateways for large language models (LLMs). In this role you will focus on the infrastructure side of AI/ML (model training is handled by our ML engineers), ensuring that data flows smoothly through ML pipelines and that inference services run reliably. You will support Stay22's AI Roam product by building scalable backend APIs and services for real-time inference and analytics. You will also build APIs and tools that enable rapid AI experimentation across the company.
Key responsibilities
- Architect, implement, and maintain end-to-end machine learning pipelines and services—from data preparation and model deployment to real-time inference engines—to support Stay22's AI products.
- Own the backend and API development for the Roam (ML-based redirection) engine, ensuring these services are scalable, performant, and reliable.
- Create and maintain internal client/gateway layers for LLMs, enabling product teams to leverage language models for features like content suggestions or classification.
- Collaborate with the ML engineering team to integrate trained models into production services and with the Data team to optimize data pipelines feeding ML models.
- Coordinate with the Forge/Platform team to implement and maintain cloud infrastructure (GCP), CI/CD pipelines, monitoring/logging, and security best practices for all AI-related systems.
- Build internal developer-facing services and tools to accelerate AI experimentation and adoption, acting as an internal AI/ML platform for other teams.
- Ensure backend systems are well-documented, maintainable, and performant at scale. Identify and address performance bottlenecks, implement caching or optimizations as needed, and uphold high standards for code quality and testing.
Requirements
- English proficiency is required for daily communication with international colleagues and direct reports.
- Bachelor's or Master’s degree in Computer Science or related field, with 8+ years of software development experience focusing on backend systems.
- Strong proficiency in Python and modern backend frameworks (e.g., FastAPI), with a track record of designing and building scalable APIs and microservices. Experience with TypeScript/Node.js is welcome but not required.
- Experience deploying services on cloud platforms (preferably Google Cloud Platform) and using container technologies (Docker, Kubernetes). Familiarity with GCP services like Vertex AI is a plus.
- Proficiency with relational and NoSQL databases (e.g., PostgreSQL, MongoDB) and asynchronous task queues (e.g., Celery). Hands-on experience optimizing database schemas and query performance.
- Understanding of machine learning workflows and the challenges of serving ML models (data pipelines, inference latency, etc.). Experience with ML infrastructure (Vertex AI, TensorFlow Serving, or similar) is advantageous.
- Skilled in setting up CI/CD pipelines, automated testing, and monitoring/alerting (logs, metrics, tracing) to ensure system reliability and security.
- Excellent communication and teamwork skills. Ability to work closely with ML engineers, data engineers, and platform teams to align on interfaces and standards.
- Self-driven problem-solver who can work independently in a hybrid environment.
What to Expect from our Hiring Process
- Screening call with our Talent Acquisition Partner (20-30 min)
- Hiring Manager virtual call (30 min)
- Technical Interview with a Developer (60 min)
- Panel interview in person with some team members (45 min)
- Final interview with our CEO (30 min)
- Offer & onboarding
Please note that this process is subject to change at any point, based on additional requirements from the team.
Why join Stay22?
- Sustain travel creators: Be part of a team that helps creators explore the world while increasing their passive income.
- Grow with us: We hire exceptional people and give them opportunities to excel and develop unique skills.
- Impact you can feel: Take initiative and contribute to Stay22's evolution.
- Location advantage: Our bright, dynamic offices are in the heart of Little Italy, surrounded by shops and restaurants.
- Be yourself: Casual dress code and flexible hours.
- Comprehensive benefits: Health, dental, retirement, learning and development opportunities, social and team-building activities, including memorable retreats.
Stay22 is an equal opportunity employer. All qualified applicants will be considered. If you have a disability or need accommodations, please contact us at
About Stay22 is provided as part of the job description content for reference purposes.
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