Python FS Developer

VirtusaPolaris - Virtusa Corporation; Toronto; On-site; CAD 70,000 - 95,000; Full time

Job summary

A leading technology company in Toronto is looking for a Full Stack Developer skilled in Generative AI technologies. This role involves designing and maintaining scalable applications using React and Python, integrating AI models, and ensuring high performance and security. Preferred candidates should have experience with Docker, Kubernetes, and strong problem-solving abilities. Join a dynamic team committed to innovation and excellence in tech.

Qualifications

• Hands-on experience in building scalable web applications using React and Python.
• Familiarity with integrating GenAI models into web applications.
• Strong understanding of performance, security, and scalability.

Responsibilities

• Design and maintain full-stack applications using React and Python.
• Integrate GenAI models into web applications.
• Write clean and well-documented code.
• Stay updated with emerging AI technologies.

Skills

Python (Flask/Django/FastAPI)

Generative AI tools and frameworks

RESTful APIs

Microservices

Cloud platforms (Azure/AWS)

Databases (SQL/NoSQL)

Version control (Git)

Prompt engineering

Tools

Docker

Kubernetes

Job description

Full Stack Developer with hands‑on experience in Generative AI (GenAI) technologies. Proficient in building scalable web applications using React for the front end and Python for the back end, while leveraging AI/ML models

Key Responsibilities

• Design, develop, and maintain full‑stack applications using React and Python.
• Integrate GenAI models LLMs, embeddings, prompt engineering into web applications.
• Ensure application performance, security, and scalability.
• Write clean, maintainable, and well‑documented code.
• Stay updated with emerging AI technologies and best practices.

Required Skills

• Expertise in Python (Flask/Django/FastAPI) for backend development.
• Experience with GenAI tools and frameworks OpenAI.
• Familiarity with RESTful APIs, microservices, and cloud platforms (Azure/AWS).
• Knowledge of databases (SQL/NoSQL) and version control (Git).
• Understanding of prompt engineering and AI model integration.

Preferred Qualifications

• Experience with containerization (Docker/Kubernetes).
• Background in AI/ML concepts and model deployment.
• Strong problem‑solving and communication skills.