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