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.
