Lead AI Engineer, UAE

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

Job summary

Join ION Group as a Lead AI Engineer in Dubai and play a pivotal role in designing complex agentic AI solutions for a leading B2C company. You will oversee solution architecture, guide application development, and lead a dynamic team in transforming customer experiences through innovative AI services.

Qualifications

• 5 to 10 years of hands-on software engineering experience.
• At least 2 years implementing LLM and Agentic AI solutions.
• Experience in agile, product-oriented delivery environments.

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

Software engineering

Agile methodology

AI solutions

Cloud-native services

Education

Bachelor's degree in Computer Science

Master’s degree in a related field

Job description

Lab49is an NYC-based award-winning global specialist consultancy thatcreates bespoke technology.

Lab49is hiring aLead AI Engineerfor an exciting opportunity in one of the world's most dynamic business hubs.This is a chance to join a pioneering team that is setting new benchmarks in the use of agentic AI, prompt-driven UIs, and LLM-powered services for a high-impact B2C client in Dubai.

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:theteam 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