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Stay22 is a Montreal-based platform that helps ambitious creators and high-intent digital platforms monetize their existing traffic through background technology. The company serves over 6,500 creators and platforms with more than $1 billion in annual transactions, expanding from travel into retail, lifestyle, publishing, events, and transportation.
As a Senior Fullstack Developer on the Neuro team, you will design and develop robust backend systems supporting Stay22's AI/ML infrastructure. The Neuro team builds and maintains Roam—the company's ML-powered redirection engine—along with associated services including ML pipelines, model hosting, and LLM gateways.
Key responsibilities include:
- Design, develop, and maintain end-to-end AI/ML pipelines and services from data preparation through model deployment and real-time inference engines
- Develop backend and APIs for the Roam engine (ML-based redirection) ensuring scalability, performance, and reliability
- Create and maintain internal client layers and gateways for large language models, enabling product teams to leverage LLMs for content suggestions and classification
- Collaborate with ML engineering teams to integrate trained models into production services and with data teams to optimize model-feeding pipelines
- Work with the Forge/platform team to establish and maintain cloud infrastructure (GCP), CI/CD pipelines, monitoring/logging, and security best practices
- Develop internal developer services and tools to facilitate AI experimentation and adoption across the organization
- Ensure backend systems are well-documented, maintainable, and performant at scale, identifying bottlenecks and implementing optimizations
Required qualifications:
- Bachelor's or Master's degree in Computer Science or related field with 8+ years of backend-focused software development experience
- Advanced proficiency in Python and modern backend frameworks (e.g., FastAPI) with strong experience designing and developing scalable APIs and microservices
- Experience deploying services on cloud platforms (preferably Google Cloud Platform) and containerization technologies (Docker, Kubernetes)
- Strong knowledge of relational and NoSQL databases (PostgreSQL, MongoDB) and asynchronous task management systems (Celery)
- Understanding of ML workflows and production model deployment challenges (data pipelines, inference latency)
- CI/CD, automated testing, and monitoring/alerting expertise (logs, metrics, tracing)
- Excellent communication and collaboration skills working across ML, data, and platform teams
- Fluent English for daily communication with international colleagues
- Self-directed problem-solving in a hybrid environment
Preferred: TypeScript/Node.js experience, GCP services knowledge (Vertex AI), ML infrastructure experience (Vertex AI, TensorFlow Serving).
