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Python FS Developer

Virtusa

Toronto

On-site

CAD 90,000 - 120,000

Full time

Yesterday
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Job summary

A leading technology solutions provider is seeking a Full Stack Developer with expertise in Python and experience in Generative AI. The ideal candidate will design and maintain applications using React and Python, integrate advanced AI models, and ensure top performance. This role is crucial for leveraging AI technologies in web applications. Strong problem-solving skills combined with a solid technical background are essential for this position in Toronto, Ontario.

Qualifications

  • Expertise in Python for backend development.
  • Experience with Generative AI tools and frameworks.
  • Familiarity with RESTful APIs and microservices.

Responsibilities

  • Design, develop, and maintain full-stack applications using React and Python.
  • Integrate GenAI models into web applications.
  • Ensure application performance, security, and scalability.

Skills

Python (Flask/Django/FastAPI)
Generative AI tools and frameworks (OpenAI)
RESTful APIs
Microservices
Cloud platforms (Azure/AWS)
Databases (SQL/NoSQL)
Version control (Git)
Prompt engineering

Tools

Docker
Kubernetes
Job description
Python FS Developer

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.
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