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

Robust 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 (Winnipeg)
🏢 Kelly
📍 Winnipeg