Experience: IT Exp 8+ Years

AI Exp Min 2+ Years

We're looking for a passionate AI Engineer with hands-on experience in LLMs, NLP, RAG, MCP, Python, and Cloud Platforms to join our engineering team. If you enjoy solving complex problems, building production-grade AI systems, and working with the latest AI technologies, we'd love to hear from you.

Key Responsibilities
Design, build, and deploy production-ready AI applications using Large Language Models (LLMs).
Develop intelligent AI solutions using Natural Language Processing (NLP) techniques.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications.
Develop AI systems using the Model Context Protocol (MCP) to integrate AI models with external tools, services, and data sources.
Design scalable backend services and REST APIs using Python.
Integrate OpenAI, Claude, Gemini, Llama, or other foundation models into business applications.




Work with vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate.
Deploy and maintain AI workloads on AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Optimize AI models for performance, scalability, security, and reliability.
Collaborate with software engineers, product teams, and stakeholders to deliver cutting-edge AI solutions.

Technologies LLMs • NLP • RAG • MCP • Python • LangChain • LlamaIndex • FastAPI • OpenAI • Claude • Gemini • Hugging Face • Vector Databases • AWS • Azure • Google Cloud Platform (GCP) • Docker • Kubernetes • Git

If you're passionate about building intelligent AI applications and want to work with the latest Generative AI technologies, apply today and become part of the Cloudoplus engineering team.

📌 Ai Engineer Ontario
🏢 Cloudoplus
📍 Ontario