Senior Fullstack Developer - Neuro Squad

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 LLM gateways. In this role you'll 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'll 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 Large Language Model (LLM) client/gateway layers that allow product teams to leverage language models for features like content suggestions or classification Partner with the ML engineering team to integrate trained models into production services and work with the Data team to consume and 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 that accelerate AI experimentation and adoption, effectively acting as an internal AI/ML “platform” to help other teams integrate Neuro's services 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 not required for this role but welcomed) Experience deploying services on cloud platforms (preferably Google Cloud Platform) and using container technologies (Docker, Kubernetes, etc.). 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 unique 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. You should be able 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 environme What to Expect from our Hiring Process We know your time’s valuable, so here’s the quick rundown of what to expect. Screening call with our Talent Acquisition Partner (20-30 min) Hiring Manager Call - Virtual (30min) Technical Interview with a Developer - Virtual (60min) Panel Interview with some team members - In Person (45min) Final interview with our CEO - Virtual (30min) Please note that this process is subject to change at any point, based on additional requirements from the team. Why join Stay22? Prime Montreal Location: Work from our vibrant Little Italy HQ with a cafeteria allowance, full gym access, and a rooftop terrace complete with a seasonal basketball/pickleball court & hockey rink! Comprehensive Benefits: Health & dental coverage, RRSP matching, fully paid STM pass’, and regular team socials, events, and retreats. Flexibility That Works: Flexible schedules, work-from-anywhere opportunities, year-end shutdown, and flex days. (Stay22 is an equal-opportunity employer. All qualified applicants are given consideration. If you have a disability or particular need that requires accommodation, please contact us at careers@stay22.com)

Architect and maintain end-to-end machine learning pipelines and scalable backend APIs to support AI infrastructure. You will also build internal tools and LLM gateway layers to enable rapid AI experimentation across the company.

Requires a Bachelor's or Master's degree in Computer Science and over 8 years of backend software development experience. Candidates must be proficient in Python, cloud platforms like GCP, and have a strong understanding of machine learning workflows and model serving.

• Health and dental coverage • RRSP matching • Fully paid STM pass • Regular team socials, events, and retreats • Cafeteria allowance • Full gym access • Rooftop terrace with seasonal basketball/pickleball court & hockey rink

• PostgreSQLSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• FastAPI
• Backend Development
• Microservices
• Google Cloud Platform
• Docker
• Kubernetes
• Vertex AI
• PostgreSQL
• MongoDB
• Celery
• Machine Learning Pipelines
• CI/CD
• LLM Gateways
• API Design
• System Architecture

• Software
• Technology
• Engineering
• Data & Analytics

Formation minimale

Baccalauréat

Expérience minimale

5+ ans

Postuler avant le

19 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte