AI/ML Engineer – Agentic AI

Position Title : AI/ML Engineer – Agentic AIExperience Required:  4–6 Years (Should be open to Travel)Employment Type : Full-Time - Riyadh - Onsite Job OverviewWe 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 ResponsibilitiesDesign, develop, and deploy AI/ML solutions for real-world business use casesBuild and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architecturesDevelop machine learning models for prediction, classification, recommendation, NLP, and automation tasksWork with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologiesIntegrate AI agents with APIs, databases, enterprise systems, and third-party toolsFine-tune, evaluate, and optimize Large Language Models (LLMs)Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementationsCollaborate with data engineers, software developers, and product teams to deliver scalable AI solutionsPerform prompt engineering, model experimentation, and performance optimizationEnsure AI solutions are production-ready, scalable, secure, and cost-efficientMonitor model performance, drift, and continuous improvement processesStay updated with emerging AI, Generative AI, and Agentic AI trends and technologiesRequired Skills & ExpertiseStrong hands-on experience in Machine Learning, Generative AI, and Agentic AI developmentProficiency in Python and AI/ML development frameworksExperience with:LangChain, LangGraph, CrewAI, AutoGen, or similar frameworksOpenAI, Anthropic, Gemini, or open-source LLMsRAG architectures and Vector DatabasesPrompt Engineering & AI workflow automationSolid understanding of:NLP conceptsML algorithms and model evaluationDeep Learning fundamentalsAI model deployment and inference optimizationExperience with ML libraries/frameworks such as:PyTorchTensorFlowScikit-learnHugging Face TransformersExperience with cloud platforms such as Azure, AWS, or GCP is preferredFamiliarity with Docker, APIs, CI/CD, and MLOps practicesStrong problem-solving and analytical skillsPreferred QualificationsBachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related fieldExperience working on enterprise AI automation or AI assistant platforms is highly preferredExposure to AI governance, evaluation frameworks, and AI observability tools is a plus