Summary
✨ AI‑Generated
A senior Python developer is needed to design, build, optimize, and maintain backend systems for business automation and data-driven applications. The role emphasizes AI/ML integration, modern containerization, scalability, resilience, troubleshooting, and production delivery.
Highlights
Build scalable automation and data-driven solutions using AI/ML and modern containerization, with substantial ownership across backend development and production applications.
Description
Role: Python Developer
Location: Mississauga, ON- Canada (Hybrid)
Position Type: Fulltime
About the Role
We are looking for a motivated and detail-oriented Python developer with 6-8+ years of experience to join our development team.
The ideal candidate will contribute to designing, developing and optimizing business process automation solutions and data driven solutions, leveraging cutting-edge AI technologies and modern containerization practices to build scalable and resilient applications.
Responsibilities
This function covers incumbents responsible for various data and business process automation projects and applications, which includes troubleshooting, enhancements and builds.
Design, develop, and maintain robust and scalable backend systems, incorporating AI/ML capabilities (e.g., Retrieval-Augmented Generation, Large Language Model integration, Machine Learning Control Plane) and deploying solutions using containerization technologies.
Responsible for routine operational or administrative work.
Individuals will have their work thoroughly reviewed and checked by more senior incumbents and will have limited contact outside their immediate area.
Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed.
Qualifications
At least 6-8 years of experience as Python or Backend Developer.
Demonstrated proficiency with key Python libraries for backend development, data processing, and AI/ML (e.g., FastAPI/Flask/Django, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, LangChain, LlamaIndex).
Exposure in SQL/PL-SQL, RDBMS or any other database systems implementation and query.
Experience with AI development frameworks and concepts, including Retrieval-Augmented Generation (RAG), Machine Learning Control Plane (MCP), and Large Language Models (LLMs).
Proficiency in containerization technologies such as Docker and orchestration platforms like Kubernetes.
Ability to think strategically and the ability to engage resources outside of their direct control to achieve objectives.
Capable of writing and building components to integrate into new or existing systems.
Documentation experience for complex software components.
Experience in implementing product lifecycle - design, development, quality, deployment, maintenance.
Ready to work within a collaborative environment with teams.
Creative thinking for identifying new opportunities.
