We are seeking a Python AI Engineer with solid 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.

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📌 Python Developer (Ontario)
🏢 Kelly
📍 Ontario