Job Announcement: Mid–Senior AI Engineers | Jordan

We are seeking a “Mid and Senior AI Engineers” based in Jordan to join a team working on cutting-edge AI research and development.

If you have strong hands-on experience building AI solutions and a passion for applied research—especially in Knowledge Graphs, NLP, LLMs, Graph-RAG, and operational AI systems —this opportunity is for you.

Required Skills & Experience:

Strong Python programming skills.
Solid experience in NLP, including information extraction, entity recognition, and text processing.
Hands-on experience with LLMs, prompt engineering, embeddings, and RAG pipelines.
Knowledge of Knowledge Graphs, ontologies, SPARQL, and semantic data integration.
Experience in deploying and managing AI solutions, including vector databases such as ChromaDB, Weaviate, FAISS, or similar tools.
Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, or Scikit-learn
Experience building AI services and APIs using FastAPI, Flask, or similar frameworks.
Understanding of MLOps/DevOps practices, including Docker, Git, CI/CD, experiment tracking, and deployment.
Ability to work with structured and unstructured data from multiple sources.
Strong problem-solving skills and ability to work independently on research-oriented projects.

Preferred / Plus Skills:

Experience with GraphDB or other triple stores.
Experience with Graph Neural Networks or knowledge graph embeddings.
Background in semantic search, explainable AI, or intelligent decision-support systems.
Experience building production-ready AI pipelines.
Experience designing scalable AI system architectures.

Experience Level:

Mid-Level AI Engineer: 3–5 years of hands-on experience in AI/ML, NLP, LLMs, data engineering, or related software engineering roles.
Senior / Expert AI Engineer: 6+ years of hands-on experience in AI/ML systems, applied AI research, production AI deployment, or technical leadership roles.
Competitive salaries are offered based on experience and qualifications.
Candidates are expected to successfully pass a selection process that assesses both technical skills and soft skills through interviews and practical evaluation.

Requirements and Qualifications:

• Academic certificates.

• Copy of ID.

• Updated CV with references.

• Experience letter outlining domain expertise, previous professional experience, and relevant projects.

Important Note: Any application that does not meet the above requirements or include the required documents will not be considered. All previously submitted applications are deemed void.

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Mid–Senior AI Engineers