Lead AI Engineer UAE

ION; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading technology firm in Dubai is seeking a Lead AI Engineer to design and implement robust AI-based solutions. You will lead the development of production-grade AI services in Python, ensuring optimal architecture for the platform. Candidates must have 5 to 10 years of experience in software engineering, a strong background in Python, and expertise in LLM and Agentic AI solutions. This position supports a hybrid work model with flexible on-site requirements during key project phases.

Qualifications

• 5 to 10 years of hands-on software engineering experience.
• Strong expertise in Python and modern backend development practices.
• At least 2 years implementing LLM and Agentic AI solutions.

Responsibilities

• Drive the architecture and solution design for the AI platform.
• Build and maintain production-grade agentic AI services in Python.
• Provide technical guidance to junior and mid-level developers.

Skills

Python

Cloud-native AI services

Agile methodology

LLM and Agentic AI solutions

Education

Bachelor's degree in Computer Science or related field

Master’s degree

Tools

AWS

LangChain

Job description

Job Summary

As a Lead AI Engineer, you will play a pivotal role in the design and implementation of a complex, agentic AI–based solution for a major B2C company in Dubai, a market leader in its sector.

The platform will deliver omni-channel, prompt-driven AI services, leveraging LLMs, agentic orchestration, retrieval-augmented generation (RAG), and tight integration with the client’s existing digital and enterprise systems.

You will lead architectural decisions, guide development standards, and help shape the next-generation customer experience powered by intelligent, modular agents.

Key Responsibilities

• Solution Design
  • Drive the architecture and solution design for the AI platform, ensuring it meets business, performance, and scalability requirements
  • Design patterns for prompt-driven UI generation, long-term memory usage, and multi-agent collaboration
  • Select appropriate frameworks and orchestrators (e.g., LangChain, LangGraph, CrewAI, Agno) based on project needs
• Application Development
  • Build and maintain production-grade agentic AI services in Python
  • Own integration patterns between schema-rendered UI, prompt handling, and inference pipelines
  • Implement APIs and backend components to interface with LLMs, memory stores, external tools, and enterprise systems
  • Develop and integrate RAG pipelines, vector stores, and structured output parsing
  • Contribute to re-usable libraries and accelerators
  • Write clean, testable code and ensure robust CI / CD and deployment pipelines are in place
• Technical Leadership
  • Provide technical guidance to junior and mid-level developers
  • Conduct code reviews and maintaining high standards of software quality
  • Collaborate closely with product managers, front-end developers, and Lab49’s and Client’s architecture and QA teams
  • Stay current with the rapidly evolving LLM landscape and proactively suggest innovations

Experience And Skills

Required experience and skills :

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Master’s degree is preferred
• 5 to 10 years of hands-on software engineering experience
• Strong expertise in Python and modern backend development practices
• At least 2 years implementing LLM and Agentic AI solutions
• Proven delivery of production-grade conversational AI platforms or prompt-native experiences (e.g., chatbots, voice assistants, agentic workflows)
• Solid understanding of cloud-native AI services, preferably on AWS
• Experience working in an agile, product-oriented delivery environment

Desired experience and skills :

• Experience with RAG architectures, information extraction, and vector databases is desirable
• Experience with Agno is a strong plus.

Details of the hybrid model : the team normally meets for 2 days a week in the office, client work may require more presence on the client premises, especially during the integration, testing and release phases of a project

Candidates should have a Bachelor's degree in a related field and 5 to 10 years of software engineering experience.

Strong expertise in Python and experience with LLM and Agentic AI solutions are essential.