CXG

AI Engineer – GenAI, LLMs, Computer Vision

CXG

contract

Posted on:

Location Type: Remote

Location: Morocco

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Tech Stack

CloudMicroservicesPythonPyTorchTensorflow

About the role

  • Designs, develops, and deploys end-to-end artificial intelligence systems with a focus on generative AI, large language models, and computer vision.
  • Owns the full AI lifecycle independently—from data preparation and model development to packaging, serving, scaling, and monitoring models in production.
  • Builds scalable AI solutions such as chatbots, copilots, predictive systems, intelligent automation, and vision-based applications, leveraging Snowflake as part of the data and analytics environment.
  • Your duties will also involve: artificial Intelligence, Machine Learning, and Deep Learning, Generative AI and Large Language Models (LLMs), Prompt engineering, fine-tuning, and model evaluation, Computer Vision (image classification, object detection, OCR), NLP, neural networks, and predictive modeling, Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex), Packaging, serving, and scaling models using APIs, microservices, and batch or real-time inference architectures, Retrieval-Augmented Generation (RAG), Snowflake (data modeling, analytics, and AI integrations), Model deployment, monitoring, and optimization (MLOps), Cloud platforms and AI APIs.

Requirements

  • The ideal experience range for this role is **2 to 3 years**.
  • - Strong hands-on experience in **AI, Machine Learning, and Deep Learning** in production use cases
  • - Practical experience working with **Generative AI and Large Language Models (LLMs)**
  • - Experience in **prompt engineering, fine-tuning, and evaluating LLM-based solutions**
  • - Solid background in **Computer Vision** (image classification, object detection, OCR)
  • - Experience with **NLP, neural networks, and predictive modeling**
  • - Strong programming skills in Python and experience with frameworks such as **TensorFlow**, **PyTorch**, **Hugging Face**, **LangChain**, or **LlamaIndex**
  • - Experience building AI applications such as chatbots, copilots, automation tools, or vision-based systems
  • - Knowledge of **Retrieval-Augmented Generation (RAG)** architectures
  • - Experience packaging and serving models using APIs, microservices, and real-time or batch inference
  • - Experience working with data platforms such as **Snowflake**
  • - Understanding of **model deployment, monitoring, and optimization (MLOps)**
  • - Familiarity with cloud platforms and AI service APIs
  • - Ability to work independently and own AI solutions **end to end**, from data preparation to production deployment
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
artificial intelligencemachine learningdeep learninggenerative AIlarge language modelsprompt engineeringcomputer visionnatural language processingneural networkspredictive modeling
Soft Skills
independent workproblem-solvingcommunicationownership