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Adeer International Linkedin · Posted 17d ago

Forward Deployed AI Engineer

Cairo

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Indexed description

  • Deploy, configure, and customize Large Language Model (LLM) solutions, including Retrieval-Augmented Generation (RAG) assistants, agentic workflows, and on-premise inference using technologies such as vLLM, Gemma, and Qwen.
  • Design and develop AI-powered internal tools and client-facing applications using LangGraph, Streamlit, React, and automation frameworks.
  • Build and maintain scalable data pipelines supporting AI and computer vision applications.
  • Customize computer vision models and workflows to meet client-specific business requirements.
  • Integrate AI applications with enterprise platforms, APIs, MCP servers, and third-party services.
  • Troubleshoot, optimize, and maintain deployed AI systems in production environments.
  • Support technical solution design, proof of concepts (PoCs), technical proposals, and compliance documentation.
  • Collaborate closely with clients to understand business requirements and translate them into practical AI solutions.
  • Work alongside cross-functional teams including software engineers, product managers, and solution architects.
  • Stay current with emerging AI technologies, frameworks, and engineering best practices.

    • Requirements

    • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field (or equivalent practical experience).
    • 1–4 years of professional software engineering experience, or a strong portfolio of personal, freelance, or open-source projects.
    • Strong programming skills in Python.
    • Solid understanding of the MERN Stack (MongoDB, Express.js, React, Node.js).
    • Experience integrating REST APIs, SDKs, and third-party services.
    • Familiarity with Git and collaborative software development workflows.
    • Ability to quickly learn and adopt new frameworks, APIs, and technologies.
    • Strong analytical and problem-solving skills.
    • Excellent communication skills with the ability to work directly with technical and non-technical clients.
    • Comfortable working in fast-paced environments with evolving priorities and ambiguous requirements.

    Experience with one or more of the following is highly desirable:

    • Retrieval-Augmented Generation (RAG)
    • LangGraph
    • Vector Databases
    • AI Agents / Agentic Workflows
    • MCP (Model Context Protocol)
    • LLM deployment and inference
    • vLLM
    • Gemma
    • Qwen
    • Hugging Face Transformers
    • Computer Vision frameworks (OpenCV, YOLO, Detectron2, etc.)
    • Docker and Kubernetes
    • GPU infrastructure and on-premise AI deployments
    • React and Three.js
    • Streamlit
    • FastAPI
    • Cloud platforms (AWS, Azure, or Google Cloud)
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