AI Engineer – Junior to Principal Level

Driving advanced artificial intelligence engineering, generative AI solution development, and technical delivery across the United Arab Emirates (UAE), Edison Smart is actively seeking skilled AI Engineers ranging from Junior through to Principal level for professional client engagements. In this vital technical leadership and hands‑on execution role, you will take full operational, tactical, and technical ownership of generative AI models, large language models (LLMs), RAG architectures, Agentic AI systems, and enterprise MLOps deployments. Bringing progressive professional experience in Python development, LangChain, LangGraph, and CrewAI frameworks, you will empower elite enterprise clients across the UAE to achieve uncompromised model accuracy, secure cloud integrations, and superior automated intelligence workflows. This prestigious career opportunity offers competitive remuneration, high‑visibility enterprise exposure, and professional growth within a leading executive search and talent strategy consultancy.

As an AI Engineer supporting Edison Smart client operations across the United Arab Emirates (UAE) across roles spanning Junior to Principal levels, you will take full operational, tactical, and technical ownership of AI solution architecture, hands‑on coding, model deployment, and client‑facing technical delivery. Your day‑to‑day responsibilities include designing, building, testing, and deploying advanced Generative AI and LLM solutions, architecting sophisticated Retrieval‑Augmented Generation (RAG) pipelines and autonomous Agentic AI frameworks, developing scalable applications utilizing Python, LangChain, LangGraph, and CrewAI, establishing robust cloud platform integrations, MLOps pipelines, and enterprise‑grade infrastructure, collaborating closely with business stakeholders to translate strategic requirements into production‑ready AI systems, and interacting directly with executive search advisors like Usman Ashraf. Furthermore, you will manage application requirements by submitting your updated CV via direct email to .

• Architect, design, develop, test, and deploy advanced Generative AI applications, large language models (LLMs), and machine learning pipelines.
• Build sophisticated Retrieval‑Augmented Generation (RAG) architectures and autonomous Agentic AI systems capable of complex reasoning and tool execution.
• Develop robust software solutions utilizing Python and industry‑leading frameworks such as LangChain, LangGraph, and CrewAI.
• Oversee end‑to‑end AI solution development, cloud platform provisioning, MLOps implementation, and enterprise software integrations.
• Engage directly with enterprise business stakeholders in client‑facing technical delivery, requirements gathering, and strategic consulting.
• Conduct rigorous model evaluation, prompt optimization, latency profiling, and throughput scaling for real‑time production environments.
• Collaborate proactively with cross‑functional software engineering squads, data scientists, and product managers.
• Maintain meticulous technical documentation, architectural blueprints, prompt libraries, experiment tracking logs, and release runbooks.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related technical discipline.
• Progressive professional hands‑on experience in AI/ML engineering, software development, and intelligent systems (ranging from Junior to Principal levels).
• Strong, demonstrable operational proficiency in Python programming and modern AI development frameworks (LangChain, LangGraph, CrewAI).
• Comprehensive working knowledge and practical experience with Generative AI, LLMs, RAG pipelines, and Agentic AI workflows.
• Deep practical experience with cloud computing platforms, MLOps pipelines, and enterprise systems integration.
• Exceptional client‑facing technical delivery, stakeholder engagement, and consultative communication skills.
• Mandatory legal work authorization and physical availability for professional operations across the United Arab Emirates (UAE).

• Professional cloud certifications such as Microsoft Certified: Azure AI Engineer Associate or AWS Certified Machine Learning Specialty.
• Prior professional working experience supporting fast‑growing technology startups, AI consultancy firms, or enterprise software product companies.
• Hands‑on familiarity with vector databases (Pinecone, Chroma, Milvus, Qdrant) and graph databases (Neo4j).
• Experience utilizing enterprise agile tracking and collaboration platforms (Jira, Confluence, GitHub Enterprise).
• Active participation in AI open‑source communities, developer meetups