Senior AI Engineer

We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy intelligent systems that automate complex processes, enhance decision-making, and unlock new efficiencies across the organization. This role will focus on building scalable, production-ready AI solutions, including autonomous agents and generative AI workflows, in close collaboration with cross-functional stakeholders. Key Responsibilities Design, build, and deploy end-to-end AI solutions, including machine learning models, generative AI applications, and autonomous agent workflows. Translate complex business and operational processes into intelligent, automated AI-driven systems. Develop, test, and optimize AI agents using modern orchestration and reasoning frameworks. Build scalable APIs and lightweight user interfaces to prototype and validate AI use cases quickly. Integrate AI solutions with structured and unstructured data sources, ensuring reliability and performance. Monitor, evaluate, and continuously improve AI systems in production environments. Collaborate with product, engineering, and business teams to deliver measurable business impact. Ensure responsible AI practices, including data security, governance, and ethical usage. Technical & Functional Requirements Programming: Expert-level proficiency in Python, with a strong track record of developing production-grade AI systems. AI Frameworks: Hands-on experience with modern AI and agent frameworks such as LangChain, LangGraph, CrewAI, and LlamaIndex. Systems & Data: Proven experience working with vector databases (e.g., Pinecone, ChromaDB) and solid knowledge of SQL for structured data management. Prototyping & APIs: Strong capability in rapid prototyping and deployment using Streamlit, Gradio, and/or FastAPI. AI Logic & Automation: Demonstrated ability to translate manual, human-led processes into autonomous AI agent workflows and intelligent automation solutions. Languages: Fluent in English; Arabic language skills are a strong advantage. Education & Experience Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related field. 3+ years of hands-on experience building and deploying AI or machine learning solutions in real-world environments. Experience working with cloud-based AI services and scalable deployment architectures is preferred. Personal Attributes Strong analytical and problem-solving skills with a structured, systems-thinking mindset. Ability to work independently while collaborating effectively within cross-functional teams. Comfortable operating in fast-paced, ambiguous environments and translating ideas into working solutions. High attention to detail, ownership, and accountability for outcomes. Show more