AIQU — الرياض - منطقة الرياض — عقد
AIQU is looking for a skilled Agentic AI / Machine Learning Engineer to build and deploy intelligent AI agents, autonomous workflows and production-ready AI solutions for a leading technology client in Saudi Arabia.
If you have hands-on experience building Agentic AI applications, LLM-based systems, multi-agent workflows and Voice AI solutions, we'd love to connect!
📍 Location: Riyadh, Saudi Arabia
💼 Employment: 12-Month Contract (Extendable)
🎯 Experience: 4–6 Years
Key Technical Skills:
✅ Agentic AI & Multi-Agent Systems: Autonomous agents, tool calling, task planning and multi-step workflows.
✅ LLM Frameworks: LangChain, LangGraph, AutoGen, CrewAI or Semantic Kernel.
✅ Python & Deep Learning: Python, PyTorch, TensorFlow, transformers, embeddings, fine-tuning and RAG.
✅ MCP (Model Context Protocol): Hands-on experience building or integrating MCP servers for AI agent tool and data access.
✅ Voice AI: Speech-to-Text (STT), Text-to-Speech (TTS) and experience supporting Saudi Arabic dialects.
✅ Redis: Caching, session/state management and real-time, low-latency AI workflows.
✅ MLOps & Deployment: Docker, Kubernetes, CI/CD, MLflow/Kubeflow and cloud deployment using AWS, Azure or GCP.
Additional Skills:
⭐ Vector databases – Pinecone, FAISS, Weaviate or Milvus
⭐ REST/gRPC APIs and microservices
⭐ Model inference optimisation and production monitoring
⭐ Scalable AI application architecture
Who Should Apply?
We are looking for engineers with 4–6 years of AI/ML engineering experience and proven hands-on experience designing, developing and deploying production-grade Agentic AI systems.
Experience in MCP integrations, Redis and Saudi Arabic Voice AI will be particularly important for this role.