Experience Required: 4–6 Years (Should be open to Travel)
Employment Type : Full-Time - Riyadh - Onsite
Job Overview
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques.
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment.
Key Responsibilities
- Design, develop, and deploy AI/ML solutions for real-world business use cases.
- Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.
- Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.
- Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.
- Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.
- Fine-tune, evaluate, and optimize Large Language Models (LLMs).
- Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.
- Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.
- Perform prompt engineering, model experimentation, and performance optimization.
- Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.
- Monitor model performance, drift, and continuous improvement processes.
- Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.
- Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.
- Proficiency in Python and AI/ML development frameworks.
- Experience with:
- LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
- OpenAI, Anthropic, Gemini, or open-source LLMs
- RAG architectures and Vector Databases
- Prompt Engineering & AI workflow automation
- Solid understanding of:
- NLP concepts
- ML algorithms and model evaluation
- Deep Learning fundamentals
- AI model deployment and inference optimization
- Experience with ML libraries/frameworks such as:
- PyTorch
- TensorFlow
- Scikit-learn
- Hugging Face Transformers
- Experience with cloud platforms such as Azure, AWS, or GCP is preferred.
- Familiarity with Docker, APIs, CI/CD, and MLOps practices.
- Strong problem-solving and analytical skills.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Experience working on enterprise AI automation or AI assistant platforms is highly preferred.
- Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.
Skills Required
- Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development
- Proficiency in Python
- Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
- Experience with OpenAI, Anthropic, Gemini, or open-source LLMs
- Solid understanding of NLP concepts
- Experience with ML libraries such as PyTorch, TensorFlow, and Scikit-learn
- Experience with cloud platforms such as Azure, AWS, or GCP
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
