AI Engineer
Full Time
full time
19 Oct 2025
Amman
Verified by Turrior
Content + Source + Freshness • 14 Feb 2026 • 95% confidence
78 / 100
Offer value
Moderate opportunity focusing on advanced AI methodologies, though with notable expectations and responsibilities.
- Engage with complex AI tasks in developing frameworks.
- Expect high levels of collaboration across teams.
- Requires strong background in AI methodologies.
Pros
- Focus on advanced AI technologies and methodologies.
- Potential development of cutting-edge AI frameworks.
- Involvement in high-level collaboration across teams.
Cons
- Expectations for autonomous project management may be high.
- Possible stress stemming from multi-agent framework complexities.
- Stability concerns typical in developing technology sectors.
Who it's for
Mid-Level to Senior • Onsite
Good fit
- AI engineers ready for advanced challenges.
- Candidates with experience in deploying AI applications.
- Individuals who thrive in collaborative environments.
Not recommended for
- Entry-level candidates without relevant AI experience.
- Professionals seeking a slow-paced work environment.
- Those not comfortable with high expectations.
Motivation fit
Determination to push boundaries of AI and machine learning.Interest in contributions toward complex AI infrastructures.Excitement for solving intricate AI-related challenges.
Key skills
Understanding of AI lifecycle and integration.Experience with large-scale AI models and multi-agent systems.Data analysis and performance benchmarking skills.
Score: 78/100 AI verified analysis
About the job
Responsibilities
- Design, train, and fine-tune large-scale transformer-based and multimodal AI models for reasoning, dialogue, and contextual understanding.
- Architect and implement multi-agent frameworks enabling AI agents to communicate, plan, and collaborate autonomously on complex tasks.
- Develop structured prompt engineering frameworks and context-management strategies to guide model reasoning, maintain accuracy, and ensure consistent results across agents.
- Design and maintain offline LLM hosting infrastructure, focusing on performance, scalability, and secure model execution through efficient resource utilization.
- Collaborate with data and software teams to define standards for data ingestion, transformation, and preparation to ensure high-quality model inputs and outputs.
- Integrate AI components into existing systems using standardized communication, orchestration, and context-exchange protocols for interoperability.
- Establish monitoring, benchmarking, and validation processes to track model accuracy, efficiency, and reliability in production environments.
- Explore advancements in agentic AI, autonomous reasoning, and generative model infrastructure, applying innovations to strengthen platform scalability and intelligence.
Qualifications
- Bachelor’s degree in computer science, AI, or a related field, with a minimum of 3 years in AI or machine-learning engineering roles.
- Proven experience with LLMs, Generative AI, or multi-agent system development, including offline or distributed inference environments.
- Strong understanding of transformer architectures, context handling, multi-agent coordination, and prompt engineering.
- Proficiency in AI model lifecycle management, data preparation, evaluation frameworks, and system integration.
- Analytical thinker with excellent problem-solving skills, adaptable to emerging technologies in Generative and Agentic AI.
- Collaborative, with strong communication skills, and focused on performance, scalability, ethical deployment, and long-term sustainability of AI solutions.
Required Skills
- AI
Job Details
- Location: Amman - Jordan
- Industry: Information & Communication Technologies
- Job Type: Full-Time
- Degree: Bachelor
- Experience: 3+
- Nationality: Unspecified
