Role: Full Stack Developer (Python AI, React, Node.js) Location:
Toronto, ON Work Mode:
Job Description We are seeking an experienced
6 8 years of experience in designing, developing, and deploying modern web applications. The ideal candidate will have strong expertise in
Python, AI/ML development, React.js, Node.js , and cloud-native technologies. This role involves building scalable enterprise applications, integrating AI-powered capabilities, developing RESTful APIs, and deploying solutions on AWS/OpenShift environments while following DevOps and security best practices.
Design, develop, and maintain scalable full-stack applications using
Python, React.js, Node.js, JavaScript, and TypeScript .
AI/ML and Generative AI capabilities into enterprise applications.
Develop responsive, reusable, and high-performance user interfaces using
React.js .
RESTful APIs, microservices, and backend services using Node.js and Python.
Develop AI-powered automation, intelligent workflows, and API integrations.
Deploy, monitor, and optimize applications on
AWS, OpenShift (OCP), Kubernetes , and containerized environments.
Collaborate with business stakeholders, architects, QA, and DevOps teams to deliver high-quality solutions.
Implement CI/CD pipelines and deployment automation using DevOps best practices.
Optimize application performance, scalability, reliability, and security.
Participate in technical design reviews, code reviews, testing, and production support.
Troubleshoot application, integration, deployment, and cloud infrastructure issues.
Prepare technical documentation, API documentation, and deployment guides.
Python for application development, automation, AI/ML integration, and API development.
Hands-on experience with
React.js , JavaScript, and TypeScript.
Strong backend development experience using
Node.js and Express.js.
Microservices .
Strong understanding of object-oriented programming and software design principles.
AI & Machine Learning
Experience developing AI-powered applications using Python.
OpenAI, LangChain, Hugging Face , or similar AI/GenAI frameworks.
Experience with prompt engineering, AI orchestration, and intelligent automation.
Exposure to LLM integration and Retrieval-Augmented Generation (RAG) solutions is preferred.
Cloud & DevOps
AWS, OpenShift (OCP), or similar cloud platforms .
Hands-on experience with
Docker ,
Kubernetes , and container orchestration.
CI/CD pipelines and deployment automation.
Knowledge of Infrastructure as Code (IaC) is an advantage.
Database & Security
Experience with relational and NoSQL databases including
PostgreSQL, MySQL, and MongoDB .
Understanding of authentication and authorization mechanisms such as
OAuth, JWT, and SSO .
Knowledge of application security, performance tuning, and cloud security best practices.
Experience with AI agents, RAG architectures, and enterprise AI platforms.
Familiarity with Agile/Scrum development methodologies.
Experience with monitoring, logging, and observability tools.
Knowledge of Infrastructure as Code tools such as Terraform is an advantage.
Strong analytical and problem-solving abilities.
Excellent communication and stakeholder management skills.
Ability to work independently and collaboratively in cross-functional Agile teams.
Strong commitment to software quality, innovation, and continuous improvement.
Interested in this role?