AI/ML Engineer – Agentic AI

**Position Title : AI/ML Engineer – Agentic AI** **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. **Required Skills & Expertise** * 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. **Preferred Qualifications** * 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. tTAmIvfFVv