Python Developer

Kelly; Mississauga; On-site; CAD 90,000 - 130,000; Full time

Job summary

Kelly in Mississauga is seeking a Python AI Engineer to design, build, and support scalable AI-powered applications and platforms. You will develop Python-based APIs, microservices, and event-driven solutions while leveraging modern AI technologies, including LLMs, Agentic AI, and RAG, following best practices in software engineering and SDLC.

The role encompasses full SDLC activities, CI/CD, containerization, monitoring, and collaboration with cross-functional teams to deliver production-ready

Qualifications

• Strong backend Python development experience.
• Experience building Python APIs, microservices and event-driven systems.
• Hands-on with LLMs, GenAI, RAG and AI frameworks.
• Familiar with Docker, CI/CD, Git and cloud-native development.
• Knowledge of PySpark/Spark and PostgreSQL/Vector databases is a plus.

Responsibilities

• Design, develop, test, deploy, and maintain Python applications, REST APIs, and microservices.
• Build AI-powered solutions using LLMs, GenAI, RAG, and AI orchestration frameworks.
• Develop event-driven and distributed systems with scalable, secure architectures.
• Integrate enterprise applications, AI models, and data platforms.
• Participate in the full SDLC, including design, development, testing, deployment, and production support.
• Implement CI/CD pipelines, automated testing, containerization, and monitoring.

Skills

Python

FastAPI/Flask

REST APIs

Microservices

SQL

Linux

Event-Driven Architecture

Kafka/MQ

distributed systems

LLMs

GenAI

RAG

LangChain

LangGraph

Google ADK

LlamaIndex

Hugging Face

AutoGen

MCP

Docker

CI/CD

Git

PySpark

Spark

PostgreSQL

Vector Databases

Tools

Kubernetes/OpenShift

AWS/Azure/GCP

LangChain

LlamaIndex

Hugging Face

Docker

CI/CD

Job description

We are seeking a Python AI Engineer with strong backend development experience to design, build, and support scalable AI-powered applications and platforms. The ideal candidate will develop Python-based APIs, microservices, and event-driven solutions while leveraging modern AI technologies, including LLMs, Agentic AI, and RAG, following best practices in software engineering and SDLC.

Key Responsibilities

• Design, develop, test, deploy, and maintain Python applications, REST APIs, and microservices.
• Build AI-powered solutions using LLMs, Agentic AI, RAG, and AI orchestration frameworks.
• Develop event-driven and distributed systems with scalable, secure architectures.
• Integrate enterprise applications, AI models, and data platforms.
• Participate in the full SDLC, including design, development, testing, deployment, and production support.
• Implement CI/CD pipelines, automated testing, containerization, and monitoring.

Required Skills

• Strong expertise in Python, FastAPI/Flask, REST APIs, Microservices, SQL, and Linux.
• Experience with Event-Driven Architecture, messaging platforms (Kafka/MQ), and distributed systems.
• Hands-on experience with LLMs, GenAI, RAG, and AI frameworks such as LangChain, LangGraph, Google ADK, LlamaIndex, Hugging Face, AutoGen, or MCP.
• Experience with Docker, CI/CD, Git, and cloud-native development.
• Knowledge of PySpark/Spark, PostgreSQL/Vector Databases is a plus.

Preferred Qualifications

• Experience with Kubernetes/OpenShift, cloud platforms (AWS/Azure/GCP), and DevOps practices.
• Exposure to AI governance, observability, and enterprise-scale platform development.