Job Description

Role : Python Developer AI/ML

No of Position : 1

Location : Toronto

Pay Rate / Hr : 80CAD (Inclusive of all charges)

Work Mode : Hybrid (2 4 days to office subject to change)

Job Title: Python Developer AI / GenAI Development

About the Role

We are seeking a Python Developer to join our team and contribute to the design development and deployment of Generative AI (GenAI) based applications in the AI/ML space. The ideal candidate will have strong Python programming skills experience with AI/ML frameworks and an interest in building scalable context-driven solutions for enterprise use cases.

Key Responsibilities

• Design develop and maintain Python applications leveraging the GenAI tools and technologies.
• Integrate GenAI with AI/ML models APIs and data pipelines.
• Build scalable services for real-time and batch processing of AI workflows.
• Collaborate with data scientists ML engineers and product teams to implement AI-driven solutions.
• Optimize performance and reliability of AI applications and services.
• Write clean efficient and well-documented code following best practices.
• Participate in code reviews testing and deployment processes.
• Stay updated with the latest advancements in AI LLMs and MCP.

Required Qualifications

• Proficiency in Python and related libraries/frameworks (FastAPI Flask Django).
• Solid understanding of AI/ML concepts and experience working with frameworks such as PyTorch TensorFlow or Hugging Face Transformers.
• Hands-on experience with OpenAI models & limitations Azure Data Factory and Azure Data Bricks development.
• Strong knowledge of RESTful APIs and microservices architectures.
• Familiarity with cloud platforms (Azure or GCP) and containerization (Docker Kubernetes).
• Experience with data integration vector databases (e.g. Pinecone Weaviate FAISS) and retrieval-augmented generation (RAG).
• Strong problem-solving and debugging skills.

Nice to Have

• Experience working with LLM orchestration frameworks (LangChain LlamaIndex Semantic Kernel).
• Background in MLOps (CI/CD for ML model deployment pipelines).
• Knowledge of enterprise AI security data governance and compliance practices.
• Contributions to open-source AI/LLM projects.

Education & Experience

• Bachelors or Masters degree in Computer Science Software Engineering or a related field.
• 3 years of professional Python development experience (AI/ML project experience preferred).

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