Python AI Backend Engineer

Linux Association of Canada; Mississauga; On-site; CAD 90,000 - 120,000; Full time

Job summary

Linux Association of Canada in Mississauga, Ontario, is seeking a hands-on Python AI Backend Engineer to build enterprise-grade GenAI applications from end to end. The role emphasizes Python, FastAPI, system design, REST APIs, and end-to-end software development.

You will design and implement scalable backend services, containers, and data interfaces using Docker, PySpark, and PostgreSQL, while contributing to RAG-based AI workflows and MCP server integrations.

Qualifications

• 5+ years of software engineering with Python.
• End-to-end software development (full SDLC).
• System design experience.
• Experience with REST APIs and microservices.
• Experience with LangChain and RAG.

Responsibilities

• Design, develop, test, and support Python-based applications and services.
• Build and maintain REST APIs, microservices, and event-driven integrations.
• Participate in the full software development lifecycle, including design, coding, testing, deployment, and support.
• Build AI-powered backend services.
• Design scalable APIs.
• Develop reusable components.
• Build RAG-based applications.
• Integrate MCP servers.
• Deploy applications using containerized environments.

Skills

Python

FastAPI

System Design

REST APIs

Microservices

LangChain

RAG

MCP Servers

Google ADK

GenAI

PySpark

PostgreSQL

Docker

CI/CD

Linux

Kafka

Education

Bachelor's degree in STEM

Advanced degree

Tools

Docker

PySpark

PostgreSQL

Kafka

AWS/Azure/GCP

Job description

Full Job Description

Role: Python AI Backend Engineer

Location: Mississauga, ON (Hybrid)

Top/Required Skills: Python, FastAPI, System Design, End-to-End Software Development, REST APIs, Component-Based Architecture, MCP Servers, Google ADK, LangChain, RAG (Retrieval-Augmented Generation), PySpark, PostgreSQL, Docker, CI/CD Pipelines, Agentic AI / GenAI, AI Backend Development.

Looking for a hands-on Python AI Backend Engineer capable of building enterprise-grade GenAI applications from end to end.

Responsibilities

• Design, develop, test, and support Python-based applications and services.
• Build and maintain REST APIs, microservices, and event-driven integrations.
• Participate in the full software development lifecycle, including design, coding, testing, deployment, and support.
• Build AI-powered backend services.
• Design scalable APIs.
• Develop reusable components.
• Build RAG-based applications.
• Integrate MCP servers.
• Deploy applications using containerized environments.

Must-have Skills

• 5+ years Software Engineering with Python
• End-to-End Software Development (Full SDLC)
• System Design
• Python
• FastAPI / Flask
• REST APIs & Microservices
• System Design & Component-Based Architecture
• LangChain / RAG (Retrieval-Augmented Generation)
• MCP (Model Context Protocol) / MCP Servers
• Google ADK
• Agentic AI / GenAI / LLM Applications
• PySpark
• PostgreSQL / SQL
• Docker / Containerization
• CI/CD Pipelines
• Linux
• Event-Driven Architecture / Kafka / MQ
• Cloud Platforms (AWS / Azure / GCP)
• Banking / Financial Services Domain (Preferred)

Education

• Bachelor's degree/University degree or equivalent experience in a STEM-related field.
• Advanced degree preferred.