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AI Engineer

Suite Life Residential Property Care Services L.L.CDubai

We are seeking a talented AI Engineer to design, develop, and deploy AI-powered applications and machine learning solutions. The ideal candidate has experience building production-ready AI systems, working with large language models (LLMs), machine learning frameworks, and cloud platforms. You will collaborate with cross-functional teams to create innovative AI products that solve real business problems.

Key Responsibilities

  • Design, build, and deploy AI and machine learning models for production environments.
  • Develop applications powered by large language models (LLMs) using modern AI frameworks.
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agents.
  • Integrate AI models with APIs, databases, and third-party platforms.
  • Fine-tune, evaluate, and monitor AI models for performance, accuracy, and reliability.
  • Develop scalable backend services to support AI applications.
  • Collaborate with product managers, designers, and software engineers to deliver AI-driven features.
  • Implement prompt engineering techniques and optimize AI workflows.
  • Ensure AI solutions meet security, privacy, and ethical AI standards.
  • Stay current with emerging AI technologies and recommend improvements.

Required Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field (or equivalent practical experience).
  • 3+ years of software development experience.
  • 2+ years of hands-on experience with machine learning or generative AI.
  • Proficiency in Python.
  • Experience with AI frameworks such as LangChain, LlamaIndex, or similar.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Knowledge of LLM APIs (OpenAI, Anthropic, Google Gemini, or similar).
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
  • Familiarity with REST APIs, Git, Docker, and cloud platforms (AWS, Azure, or Google Cloud).
  • Strong problem-solving and communication skills.

Preferred Qualifications

  • Experience deploying AI applications in production.
  • Knowledge of MLOps tools and CI/CD pipelines.
  • Experience with Kubernetes and container orchestration.
  • Familiarity with SQL and NoSQL databases.
  • Experience with data engineering or ETL pipelines.
  • Knowledge of AI evaluation frameworks and model monitoring.
  • Experience building AI chatbots, copilots, or autonomous agents.

Job Type: Full-time

Application Question(s):

  • Can Join Immediately
  • Are you a native Arabic Speaker?

Experience:

  • Python: 2 years (Required)
  • AI Software Engineer: 2 years (Required)

Work Location: In person

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