AI Engineer – Junior to Principal Level (Generative AI, LLMs & LangGraph) | Edison Smart | United Arab Emirates (UAE)

Edison Smart; United Arab Emirates; On-site; AED 180,000 - 280,000; Full time

Job summary

Edison Smart is seeking AI Engineers across Junior to Principal levels to lead and deliver advanced Generative AI solutions in the UAE. You will own AI solution architecture, code, deployment, and client-facing technical delivery, working with Python, LangChain, LangGraph, and CrewAI to build robust, scalable systems for enterprise clients.

Join a high-visibility engagement with opportunity for growth, professional development, and exposure to cutting-edge MLOps and cloud integrations within a

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, or related field.
• Hands-on experience in AI/ML engineering, software development, and intelligent systems.
• Strong Python and modern AI frameworks (LangChain, LangGraph, CrewAI).
• Experience with Generative AI, LLMs, RAG pipelines, and Agentic AI workflows.
• Cloud computing, MLOps, and enterprise systems integration.
• Excellent client-facing delivery and stakeholder communication.
• Legal work authorization and UAE availability.

Responsibilities

• Architect, design, test, and deploy Generative AI apps and ML pipelines.
• Build RAG architectures and autonomous Agentic AI systems.
• Develop software with Python and LangChain/LangGraph/CrewAI.
• Oversee end-to-end AI solution development and cloud provisioning.
• Engage with enterprise stakeholders in technical delivery and requirements.
• Evaluate models, optimize prompts, profile latency, scale throughput.
• Collaborate with cross-functional teams and maintain docs and runbooks.

Skills

Python

LangChain

LangGraph

CrewAI

MLOps

Cloud platforms

AI/ML engineering

Client-facing delivery

Education

Bachelor’s or Master’s degree in Computer Science / AI / Data Science

Tools

Jira

Confluence

GitHub Enterprise

Pinecone

Chroma

Milvus

Qdrant

Neo4j

Job description

Position Summary

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.

Detailed Job Description

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 [e-mail].

Key Responsibilities

• 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.

Required Qualifications & Skills

• 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).

Nice‑to‑Have Skills

• 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, or machine learning research forums.

Application Information

• Salary/Rate: Market Competitive / Enterprise AI Executive Package
• Work Schedule: Professional Operations (United Arab Emirates – UAE)
• Deadline: Open until filled (Urgent UAE AI Engineering Openings – Junior to Principal)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Contract Staffing Engagements (UAE)