Lead AI Engineer UAE

ION; Dubai; On-site; USD 90,000 - 140,000; Full time

Job summary

Join a leading consultancy as a Lead AI Engineer in Dubai, where you will spearhead the design and implementation of innovative AI solutions. In this pivotal role, you will drive architecture and development efforts, leading projects that integrate cutting-edge AI technologies. Ideal candidates will have a strong background in Python and experience in developing LLM-based applications within B2C environments.

Benefits

Flexible working hours

Professional development opportunities

Collaboration with industry leaders

Qualifications

• 5 to 10 years of software engineering experience.
• Strong experience in Python and LLM implementations.
• Knowledge of cloud-native AI services.

Responsibilities

• Drive the architecture design for agentic AI solutions.
• Build and maintain production-grade AI services.
• Provide technical guidance to developers.

Skills

Python

LLM expertise

Back-end Development

Cloud Services

Agile Methodologies

Education

Bachelor's in Computer Science

Master’s Degree (preferred)

Tools

AWS

LangChain

LangGraph

CrewAI

Agno

Job description

Lab49 is an NYC-based award-winning global specialist consultancy that creates bespoke technology. Lab49 is hiring a Lead AI Engineer for 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 :

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

EXPERIENCE AND SKILLS :

1. Required experience and skills :
2. Bachelor's degree in Computer Science, Information Technology, or a related field. Master’s degree is preferred.
3. 5 to 10 years of hands-on software engineering experience.
4. Strong expertise in Python and modern backend development practices.
5. At least 2 years implementing LLM and agentic AI solutions.
6. Proven delivery of production-grade conversational AI platforms or prompt-native experiences (e.g., chatbots, voice assistants, agentic workflows).
7. Solid understanding of cloud-native AI services, preferably on AWS.
8. Experience working in an agile, product-oriented delivery environment.
9. Desired experience and skills :
10. Experience with RAG architectures, information extraction, and vector databases is desirable.
11. Experience with Agno is a strong plus.
12. 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 integration, testing, and release phases.