Overview
ROLE : PYTHON DEVELOPER / GEN AI DEVELOPER
TORONTO - HYBRID - FULLTIME
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 (, 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
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- years of professional Python development experience (AI / ML project experience preferred).