JOB TITLE
Neuro-Symbolic AI Research Engineer — Hybrid Intelligence & Explainable Reasoning
ABOUT THE JOB
Orod Group is seeking a Neuro-Symbolic AI Research Engineer to explore the next generation of intelligent systems combining neural learning with symbolic reasoning.
The role focuses on researching and developing hybrid AI architectures that integrate deep learning, knowledge representation, logical reasoning, and structured information processing.
The successful candidate will investigate how neuro-symbolic approaches can improve the reliability, interpretability, and reasoning capabilities of AI systems across complex digital environments.
RESPONSIBILITIES
- Research neuro-symbolic AI architectures and emerging hybrid intelligence models.
- Explore the integration of neural networks with symbolic logic and knowledge representation.
- Develop experimental systems combining machine learning and rule-based reasoning.
- Investigate knowledge graphs and structured data for intelligent reasoning.
- Explore explainable AI methods and mechanisms for transparent decision-making.
- Research applications of hybrid AI in autonomous agents and enterprise intelligence.
- Investigate potential integrations with blockchain-based knowledge and verification systems.
- Develop prototypes, technical reports, and research-driven technology concepts.
QUALIFICATIONS
- Background in Artificial Intelligence, Computer Science, Mathematics, or a related discipline.
- Strong understanding of machine learning and deep learning fundamentals.
- Familiarity with symbolic AI, logical reasoning, or knowledge representation.
- Experience with Python and modern AI development frameworks.
- Knowledge of knowledge graphs, ontologies, or explainable AI is an advantage.
- Understanding of large language models and AI agent architectures is beneficial.
- Strong analytical, mathematical, and problem-solving skills.
- Interest in the foundations of intelligent systems and hybrid computational models.
WHAT WE OFFER
- An opportunity to explore advanced AI research beyond conventional machine learning.
- Collaboration on interdisciplinary projects involving AI, blockchain, and intelligent digital systems.
- Opportunities to develop experimental prototypes and publish technical research.
- An environment that encourages independent thinking and emerging technology exploration.
HOW TO APPLY
Please send the following materials to [email protected]:
- A CV (maximum 2 pages).
- A brief cover letter (maximum 1 page).
- Links to up to three relevant projects, publications, or technical research samples, if available.
- Contact details for two professional references.
Shortlisted candidates may be invited to an interview and a short practical technical assignment.
Orod Group welcomes applications from qualified candidates with diverse professional and academic backgrounds.
